Rahimyar Khan Atlas 1 - NDMA

National Disaster Management Authority,Prime Minister’s Office, 2nd Floor, Sector G-5/1

Constitution Avenue, Islamabad - Pakistanwww.ndma.gov.pk

MULTI HAZARD VULNERABILITY & RISK ASSESSMENT(MHVRA)

MULTI HAZARD VULNERABILITY & RISK ASSESSMENT(MHVRA)

DISTRICTRAHIMYAR KHAN

PUNJAB - PAKISTAN

The National Disaster Management Authority (NDMA) is the lead federal agency to deal with the whole spectrum of Disaster Management in Pakistan. It was established in 2007 through NDM Ordinance and was finally provided parliamentary cover by an act of Parliament in 2010. The NDMA is the executive arm of the National Disaster Management Commission (NDMC), which was established under the Chairmanship of the Prime Minister of Pakistan, as an apex policy making body in the field of Disaster Management. The NDMA aims to develop sustainable operational capacity and

professional competence to coordinate the emergency response of Federal Government in the event of a national disaster.

Developed by Project Management Unit (PMU),

National Disaster Management Authority,Prime Minister's Office

Published in Pakistan (2018)ISBN: 978-969-7672-00-8

Disclaimer The designation employed and the presentations of material in this Atlas do not imply the expression of any opinion or official endorsement on the part of NDMA. While every effort has been made to ensure the accuracy and correctness of materials presented for this publication, the NDMA and its partners, disclaim any responsibility for the accuracy or correctness of the information and makes no representation of warranty as to information accuracy, and in particular, their accuracy in labeling, dimensions, contours, boundaries, or placement or location of any map features thereon. The areas depicted by maps are approximate, and are not necessarily accurate to surveying or engineering standards. The maps and tables shown here are for illustration purposes only and are not suitable for site-specific decision making. NDMA acknowledges and accepts all limitations, including the fact that

the information and maps are dynamic and in a constant state of revision.�

Copyright© All rights reserved. No part of this publication may be reproduced, copied, stored in a retrieval system or transmitted in any form or by any means without the prior written permission of the copyright holder. Enquiries concerning the reproduction, distribution or translation should be made to the Project

Management Unit (PMU), National Disaster Management Authority, Pakistan vide contact details given below.

We appreciate your feedback Questions and comments concerning this publication may be addressed to the Project Management Unit, National Disaster Management Authority,

Pakistan vide contact details given below.

Contacts Project Management Unit

National Disaster Management Authority Prime Minister's Office, 2nd Floor, Sector G-5/1

Constitution Avenue, Post Code 44000, Islamabad, Pakistan www.ndma.gov.pk

[email protected], [email protected]

FOREWARD

One of the goals of the National Disaster Management Authority (NDMA) is to achieve sustainable social, economic and environmental development in Pakistan through reducing risks and vulnerabilities by effectively responding to and recovery from all types of disasters.

Pakistan is among the countries most vulnerable to natural and man-made disasters. The country’s acute vulnerability to disasters is due to its geographical location, diverse topography, hydrological configuration and extended fault-lines. Recur-rent disasters have taken a heavy toll on the long-term development goals of the country. The vulnerability to disasters is growing in both urban and rural areas, placing even more lives and livelihoods at risk.

NDMA, being the country’s apex body for implementing, coordinating and monitoring whole spectrum of disaster manage-ment activities in Pakistan, has always remained focused to achieve its vision of building disaster resilient Pakistan. Signifi-cant efforts have been made in this direction to reduce the country’s vulnerability to several types of impending disasters. National DRR Policy and National Disaster Management Plan (NDMP) 2012-2022 reflect our priorities i.e. adopting a proactive approach towards disaster risk management. For implementation of NDMP’s key interventions, NDMA conceived an implementation roadmap for NDMP (2016-2030) wherein particular emphasis has been laid on Multi Hazard Vulnerability & Risk Assessment (MHVRA) Intervention.

MHVRA study plays an instrumental role in integrated Disaster Risk Reduction (DRR) planning and mainstreaming DRR into development at local, provin-cial, and national level. It guides the relevant agencies/ line departments in requisite land-use planning and implementation of national level programs aligned to vulnerabilities at a community level. The knowledge gained from the study can also play a cardinal role in development of robust knowledge management framework for long-term socio-economic sustainable growth.

For MHVRA related activities, NDMA has successfully conducted the MHVRA study of five selected districts of Punjab by utilizing the in-house technical resources. It is important to mention that this Project demonstrates high degree of expertise for data processing and visualization. I am hopeful that this document will act as a constant source for informed decision making for all stakeholders and assist in development of NDMA in-house capacity to take similar endeavors in the future as well. I would like to extend my gratitude to the Members of National Disaster Management Plan (NDMP) Steering Com-mittee for taking keen interest in providing strategic guidance throughout the course of this Study and endorsing its results.

I would like to place on record my sincere appreciation for the contributions of Development Partners, NGOs/INGOs and academia for their valuable inputs during the execution of this Study. A profound gratitude goes to the United Nation World Food Program, Pakistan for their support and cooperation for initiating and pioneering MHVRA initiatives in Pakistan and for their long-term support in establishing PMU in NDMA.

I believe that this is the first step of a long journey ahead which would require commitment, steadfast support of the partners to achieve the ultimate aim of a Resilient Pakistan.

Lieutenant GeneralOmar Mahmood Hayat, HI (M)

Chairman, National DisasterManagement Authority (NDMA)

The National Disaster Management Authority (NDMA) is pleased to launch the Multi Hazards Vulnerability and Risk Assessment (MHVRA) Atlas of five selected districts of Punjab, prepared mainly as a dynamic planning tool for Disaster Risk Management (DRM) officials of Government, Humanitarian Agencies and Development Partners at provincial and district levels for improved and informed Disaster Risk Reduction (DRR), Preparedness and Contin-gency Planning.

An esteem of gratitude is owed to the Former Chairman NDMA, Major General (R) Asghar Nawaz HI(M) and the Current Chairman Lieutenant General Omar Mahmood Hayat HI(M), for their visionary approach, guidance and direction in constituting this Study. They remained a source of guidance at each stage of this project which ultimately had resulted in successful execution of this Project..

We profoundly acknowledge Senior DRM Officer, Mr. Sultan Mehmood of Disaster Risk Reduction (DRR) Unit and Program Officer Mr. Iftikhar Abbas of Vulnerability Analysis & Mapping (VAM) Unit of World Food Program (WFP) for their support and cooperation for all our initiatives and endeavors throughout the working of this project. We acknowledge and express our sincere and deep appreciation for their assistance in this regard.

Our sincere and passionate felicitations to Former Member Disaster Risk Reduction (DRR) NDMA, Mr. Ahmed Kamal, Current Member DRR, NDMA, Mr. Idrees Mehsud, Director Implementation Lieutenant Colonel (R) Raza Iqbal and Assistant Director Projects Mr. Shafi Agha for their continuous support, prized guidance and relevant inputs based on their vast experience and knowledge that contributed immensely in this endeavor.

We acknowledge significant contributions made by institutions and individuals at district, provincial, national by providing data and information required to smoothly carryout this project. In addition, the proficiencies provided by the consultant of different disciplines were crucial, as it helped to maintain precision throughout the assessment.

In the end, we would like to extend our heartiest gratitude to all our relevant stakeholders who rendered their full support, contribution and active partici-pation during execution of this Study. Their contributions are sincerely appreciated and acknowledged.

ACKNOWLEDGEMENT

Pakistan by virtue of its diverse topographic features is vulnerable to wide degree of natural and man-made disasters. Events exhibited under many forms in the past are the testimonies to the country’s susceptibility to disasters. Until recently, a reactive emergency response approach remained chiefly applicable to deal with disasters in Pakistan. However, disasters continued to exact a heavy toll on country’s economy, human lives and environment and, consequently, manifested the need for developing a different strategy towards Disaster Risk Reduction (DRR). Against this backdrop, a shift from hitherto response based approach to proactive disaster management was adopted through 2007 National Disaster Management Ordinance, now known as National Disaster Management (NDM) Act 2010.

National Disaster Management Authority (NDMA), with provision of NDMA Act 2010 and in-line with the DRR Policy, formulated a 10-year comprehensive National Disaster Management Plan (NDMP) 2012–2022 outlining ten priority areas and 118 specific interventions and projects for implementation over the span of ten years. The priority number 3 and 4 under NDMP 2012-2022 warrants execution of Multi Hazard Vulnerability and Risk Assessment (MHVRA) Intervention in the Country. In this regard, NDMP implementation roadmap 2016-2030 was chalked out for phase-wise execution of MHVRA Intervention at micro level, down to UC Level, for all districts of Pakistan and AJ&K.

In view of the Country’s vulnerability to multiple disasters, the implementation of MHVRA Intervention is considered essential for achieving national and global commitments, some of which are outlined in Millennium Development Goals (MDGs) & Sustainable Development Goals (SDGs), Sendai Framework for Disaster Risk Reduction (SFDRR), Climate Change Policy 2012, National Disaster Risk Reduction (DRR) Policy 2013, NDMP 2012-2022 and Pakistan Vision 2025.

Cognizance of the importance of MHVRA component, NDMA, being an apex body to deal with the whole spectrum of disaster management, embarked upon establishing holistic and well-structured methodology for country-specific MHVRA activity. To this end, Project Management Unit (PMU) has been established in NDMA for execution and monitoring of the MHVRA Studies in the Country, with an aim to clearly estimate and map the risk of communities nationwide. PMU, as the first step, laid down “NDMA Policy & Execution Guidelines for the conduct of MHVRA” to maintain unanimity in risk assessment methodology across the Country and AJ&K. The Guidelines constitute an important part of NDMA’s effort towards provision of unified standards and procedures for the hazard, exposure, vulnerability and risk assessments.

To test the various attributes of the MHVRA Guidelines, PMU with the support of World Food Programme (WFP), conducted a micro-level MHVRA intervention, down to Union Council level, for five selected districts of Punjab namely Bahawalpur, Jhang, Khushab, Multan and Rahim Yar Khan. This Project has a distinction of being the only study to be endorsed by Steering Committee formulated to oversee implementation of NDMP. The NDMP Steering Committee consists of members from all lead technical agencies of Pakistan including representatives from S/GB/F/PDMA, Pakistan Meteorological Department (PMD), Planning Commission, Planning Development & Reforms Division, Finance Division, Economic Affairs Division, Ministry of Water & Power, Ministry of Climate Change, Federal Flood Commission (FFC), Geological Survey of Pakistan (GSP), Space & Upper Atmosphere Research Commission (SUPARCO) and Survey of Pakistan (SOP) as well as representatives from academia.

This Study involved identification and analysis of prevailing hazards in the study districts through field level consultation with local stakeholders and analysis of historical records. Three hazards namely drought, flood, earthquake have been considered for hazard analysis owing to their frequent recurrence in the study districts. The project covered various scientific and technical activities, including a review of past and ongoing studies related to hydrological, seismological and geological phenomenon. For hazard modelling and analysis, probabilistic and scenario based hazard assessment tools have been employed in the project. Technical parameters used for hazard estimation include information concerning soil moisture condition, climatic, biotic & edaphic factors of soil, temperature condition, vegetation health, water flow paths, flood catchment area, streamline data, land use data, river discharge information, flood extent, flood velocity, precipitation, seismic sources, plate tectonics, geomorphology, soil data, bore hole data, fault zones, ground motion prediction equations, seismic intensity (PGA), soil ground motion amplification factor and so on.

Exposure has been mapped in the dimensions of population, physical elements, life lines, essential facilities, transportation facilities, socio-economic aspects, economic activities, environmental elements, critical infrastructure, agriculture and livestock elements; being termed as elements at risk. Various statistical tools such as projection equations, dissimilarity index, have been employed in the Project to extrapolate information beyond the available frame.

Vulnerability analysis has been conducted considering three dimensions i.e. physical, social and agriculture (Food Insecurity). For physical vulnerability, fragility curves have been developed using available technical and statistical tools (Probabilistic or Empirical fragility models). For social vulnerability, several technical tools such as Principal Component Analysis (PCA) and Social Vulnerability Indicator (SoVI) have been utilized to obtain possible driving factors contributing to the social vulnerability in the study area. Vulnerability analysis in the context of agriculture and food security have also also been undertaken to determine sets of contributing factors to food insecurity and agricultural vulnerability. The stressor covered epidemic, endemic, biotic and edaphic factors and sudden shocks such as earthquake, flood and drought.

Coping capacity has been anticipated by assessing existing capacities of organization to manage disasters. The coping capacity has further been divided into three main factors i.e. capacity to anticipate risk, capacity to respond and capacity recover. Adaptive capacity has been evaluated using fifteen indicators.

PREFACE

METHODOLOGY

(Continued)

For Risk Assessment, Analytical Hierarchy Process (AHP) and Multi Criteria Decision Making approaches have been employed in the Study. The risk assessment has been carried out using qualitative, quantities or semi quantitative approach. On basis of these factor components, the cumulative risk profile of the study districts (risk indexing down to UC Level) have been developed. Various DRR intervention and mitigation measures have formulated and finally Cost Benefit Analysis (CBA) of proposed DRR interventions have been performed to estimate their economic feasibility.

Close linkages with the National, provincial and district organizations have been established through stakeholder consultation arrangements in order to facilitate secondary data collection, hazard specific information exchange, and sharing of any other relevant data. For this purpose, several data collection tools have been utilized in the Study such as focus group discussion, key informant interviews, participatory rural appraisal, semi structured interviews and one-to-one interviews with community level stakeholders and line departments.

An accurate, easy-to-interpret and up-to-date information is one of the most fundamental elements of decision-making process. Information, particularly in the realm of disaster management, plays an instrumental role in the risk-informed Disaster Risk Reduction (DRR) planning. It makes the relevant departments aware of the likely losses, relative vulnerabilities, exposure and impending disaster risks in the study area, enabling them to effectively undertake prevention, mitigation, preparedness and response based measures before or at the onset of any emergency situation. However, compilation and visualization of information concerning Multi Hazard Vulnerability & Risk Assessment (MHVRA) study is fairly a challenging task since it demands multi-dimensional analysis of different natural processes to understand their composite effects over the study area. Similarly, presentation of the outputs of MHVRA study to the end user, in an easy manner, is yet another challenging task, which requires development of data visualizing tools, graphic aids, catalog of charts and map composition with effective cartographic language. This Atlas in one major step to achieve the said objectives. Much effort has been put in to provide easy to comprehend and interactive information to the users. This Atlas provides detailed baseline maps of the study district covering several dimensions to include geology, climatology, land use, land cover, elevation, population, settlements, buildings, transportation, telecommunication, health, education, irrigation infrastructure, industries, livestock, agriculture etc. Several graphical tools have been employed to produce easy to grasp charts, these include pie-charts, histograms, ring charts, matrix diagram, bar charts, line graphs, 3D charts and informative tables. The Atlas also provides brief hazard assessment methodologies for each selected hazards i.e. drought, earthquake and flood, along with maps for various return periods. Exposure Matrix Tables identifying the exposed elements at risk have also been developed along with the exposure maps. A brief risk assessment methodology is also provided in the atlas with the risk maps. All the study has been conducted at micro-level, down to the level of Union Council. This Study is first of its kind and demonstrates high level of expertise, arduous work and coordinated approach involving cross-sectorial stakeholder linkages.

The Product shall be useful for policymakers and practitioners for risk-informed land-use planning, mainstreaming DRR into development programs and implementation of national scale programs aligned to ground. The project would render substantial baseline information over which other micro level DRR plans could be devised and will serve as a state of the art planning tool enabling mapping of resources in the study district.

ABOUT THIS ATLAS

List of Officers/Officials involved in MHVRA Punjab Study

Name Designation/Position

Mr. Ehtisham Khalid Khan

Ms. Nimrah Khalid

Mr. Asif Jan Turangzai

Mr. Saad Shams Butt

Mr. Syed Muhammad Tayyab Shah

Mr. Aamir Qayyum

Ms. Mashal Riaz

Ms. Sana Zahid Shah

Ms. Zahra Hassan

Mr. Ismail Khan

Mr. Malik Zaheer-ud-Din

Ms. Sarah Ovais

Ms. Saman Mushtaq

Mr. Muhammad Waqas

Mr. Sheikh Rafay Ehsan

Project Director / Team Lead

MHVRA Expert

Senior MHVRA Expert (Till October, 2016)

GIS Expert (Till September, 2016)

Project Officer

Project Officer

MHVRA Officer

GIS Officer

GIS Officer

Project Officer (Till September, 2016)

Project Officer (Till August, 2016)

GIS Associate (Till September, 2016)

GIS Associate (Till September, 2016)

MHVRA Associate (Till February, 2017)

MHVRA Intern

Name Consultancy Area

Dr. Naveed Ahmad

Dr. Bashir Ahmad

Dr. Athar Ashraf

Dr. Wajid Pirzada

Dr. Shahzad Ali Khan

Mr. Amjad Ahmad

Seismic Hazard Analysis and Vulnerability Analysis

Drought Hazard Analysis

Flood Hazard Analysis

Food Insecurity Study

Cost & Benefit Analysis

Risk Assessment

Technical Team

Consultants

Name Designation/Position

Ms. Muqaddas Iqbal

Mr. Ghulam Rasool

Mr. Shahid Malik

Mr. Ali Tassadaq

Mr. Tilwat Khan

Mr. Nasir Khan

Project Coordinator (Till September, 2016)

Admin and Account Officer

Field Surveyor

Account Intern (Till February, 2017)

Office Assistant

Office Assistant

Support Team

National Disaster Management Plan (NDMP)Steering Committee - Participants List (19th Sep & 9th Dec 2016)

Name DesignationMaj. Gen. Asghar Nawaz

Mr. Ahmed Kamal

Brig. Ishtiaq Ahmed

Mr. Ehtisham Khalid Khan

Mr. Chaudhry Muhammad Anwar

Mr. Syed Zawad Haider Shah

Mr. Syed Zakria Ali Shah

Mr. Muhammad Saleem Khatak

Mr. Wasim Akhtar

Mr. Muhammad Afzal Shabzada

Mr. Arshad Ahmed

Mr. Malik Aman

Mr. Khalid Sher Dil

Mr. Hameedullah Malik

Mr. Nisar Ahmed Sani

Mr. Syed Ahmed Fawad

Mr. Amer Afaq

Mr. Wajid Ali Khan

Mr. Israr Muhammad

Mr. Faisal Khan Baloch

Mr. Muhammad Khalid Sherdil

Mr. Main Adil Zahoor

Mr. Zaheer-udin-Babar

Mr. Abdul Waheed Shah

Mr. Zaheer-udin-Qureshi

Dr. Muhammad Hanif

Mr. Zafar Iqbal

Mr. Alamgir

Mr. Muhammad Ishtiaq

Mr. Syed Zuhair Bukhari

Mr. Zafar Iqbal

Mr. Muhammad Farooq

Mr. Sardar Saeed Akhter

Mr. Simon Sadiq

Brig Sajid Naeem (R)

Dr. Talat Iqbal

Dr. Muhammad Ali Shah

Ms. Thai Van Hoary

Mr. Iftikhar Abbas

Ms. Umber Khan

Mr. Sherwan Asif

Mr. Shaukat Shafi

Chairman

Member (Disaster Risk Reduction)

Member (Operations)

Project Director/Team Lead

Chief (PPH)

Section Officer

Deputy Secretary (UN)

Deputy Secretary

Deputy Secretary (Development)

Deputy Director

Senior Joint Secretary

DSA (NDMA)

Director General

Project Director

Documentation Officer

Director (Operations)

Director General

Deputy Director (Relief)

Director (R&R)

Assistant Director

Director General

Assistant Director (Operations & Relief)

Deputy Director

Director General

Director General

Director (NWFC)

Senior Engineer

Chief Engineer

Director

Director

Director

General Manager

Director

Deputy Director

Senior Capacity Building Expert

Deputy Chief Scientist / Director

Manager (DM & R Division)

Head of Vulnerability Analysis & Mapping

Program Officer (Spatial Analyst)

Program Officer

Program Manager

Senior Project Officer

PositionChair

Member/ Secretary

Member

Member

Member

Member

Member

Member

Member

Member

Member

Member

Member

Member

Member

Member

Member

Member

Member

Member

Member

Co-opted Member

Co-opted Member

Observer

Observer

Observer

DepartmentNational Disaster ManagementAuthority (NDMA), Pakistan

Planning and Development Division

Economics Affairs Division

Ministry of Climate Change

Finance Division

Provincial Disaster ManagementAuthority, Punjab

Provincial Disaster ManagementAuthority, Sindh

Provinicial Disaster ManagementAuthority, Khyber Pakhtoonkha

Provincial Disaster ManagementAuthority, Balochistan

FATA Disaster Management Authority

Gilgit Baltistan Disaster ManagementAuthority

State Disaster Management AuthorityAzad Jammu & Kashmir

Pakistan Meteorological Department

Federal Flood Commission, Ministryof Water and Power

Survey of Pakistan

Pakistan Space and Upper AtmosphereResearch Commission (SUPARCO)

Geological Survey of Pakistan

National Institute of Disaster Management

Center for Earthquake Studies, PAEC

Micro Seismic Studies Program, PakistanAutomic Energy Commission (MSSP,PAEC)

World Food Program, Pakistan (UN- WFP)

Department for InternationalDevelopment (DFID)

Asian Development Bank (ADB)

TABLE OF CONTENTSRAHIM YAR KHAN Page #.

Rahim Yar Khan District Overview 01

05

HAZARD ANALYSIS Page #.

Geology

Land Use and Land Cover

Elevation

Population Distribution

Population Density

Settlements

Building Distribution

Building Density

Transportation Network

Telecommunication

Health Facilities

Education

Irrigation Infrastructure

Major Industries

Livestock

Agriculture

Rescue 1122

Climatology

07

09

11

13

17

21

23

27

29

31

33

35

39

41

42

45

46

1

2

3

4

5

6

7

8

9

10

11

12

13

14

15

16

17

18

19

Drought Hazard Assesment

Drought Prone Union Councils

Frequently Drought Prone Union Councils

Earthquake Hazard Assessment

Earthquakes Hazard , 50 Years Return Period

Earthquakes Hazard , 475 Years Return Period

Flood Hazard Assessment

Flood Hazard , 10 Years Return Period



49

51

52

53

54

55

57

59

60

61

20

21

22

EXPOSURE ANALYSIS Page #.

Elements Exposed To Drought Hazard

Settlements, Villages, Major Towns and Population Exposed to Drought

Land Use & Land Cover Exposed to Drought

Crop Exposed to Drought (Rabi Season)

Crop Exposed to Drought (Kharif Season)

63

65

66

67

68

23

EXPOSURE ANALYSIS Page #.

Elements Exposed To Earthquake Hazard

Built-up Area, Major Industries & critical Infrastructure Exposed to Earthquake 50 Years Return Period

Built-up Area, Major Industries & critical Infrastructure Exposed to Earthquake 475 Years Return Period

Schools, Health and Building Exposed to Earthquake 50 Year Return Period

Schools, Health and Building Exposed to Earthquake 475 Year Return Period

Settlements, Villages, Major Towns and Population Exposed to Earthquake Return Period 50 Years

Settlements, Villages, Major Towns and Population Exposed to Earthquake Return Period 475 Years

Elements Exposed To Flood Hazard

Land Use & Land Cover Exposed to Flood Return Period 10 Years



Communication Towers and Transportation Network Exposed to Flood 10 Year Return Period



Schools, Health and Building Exposed to Flood 10 Year Return Period



Crop Exposed to Flood Return Period 10 Years (Kharif Season)



69

73

74

75

76

77

78

79

81

82

83

84

85

86

87

88

89

90

91

92

24

25

VULNERABILITY ASSESSMENT Page #.

Page #.

Physical and Social Vulnerability Assessment

Food Security against Drought

95

96

101

102

104

105

106

107

26

27

RISK ASSESSMENT

Integrated Risk Assessment

Risk Assessment by Hazard Type

Drought Risk

Earthquake Risk

Flood Risk

Composite Risk

28

29

BASELINEINFORMATIONA

1 RAHIM YAR KHAN DISTRICT OVERVIEW

Rahimyar Khan is one of the largest districts of Punjab, with its city capital as Rahim Yar Khan City. The river Indus flows on its North-West side. It shares its boundary with Rajanpur and Muzaffargarh districts. On its South-West lies the Province of Sindh. To the South-East lies the Cholistan desert. The population of the district is predominantly Muslims i.e. 96.7 percent. The inhabitants of the district speak several dialects that are variously described as belonging to Punjabi. The local economy and livelihood of this district are mainly agriculture resource base with a good yield of different cash crops along with production of fruits. Industrial sector is also functional and furnishing here.

HistoryRahim Yar Khan was once known as “AROR or ALOR”. It received multiple names such as City of Pattan, Phul Wada and Noshehra. The name “Rahim Yar Khan” came from one of the relatives of Nawab of Bahawalpur. Its earlier name was “Naushehra.

Mohammad Bin Qasim passed through this area in 93-94 A.H. 800 years ago, Shahab-u-Din Ghouri conquered Uch Sharif, which at that time was capital of Sindh & Multan, and later established Islamic Government in this area. In the reign of Shams-ud-Din Altamash, for a period of twenty years this area was under rebel. Rahim Yar Khan got much attention in 1751 A.D during the reign of FazalIlahi Khan Halanion who built this region from the ruins of ancient PhulWadda during the Sumra Supremacy in Sindh. In the year 1880 Lahore, Karachi Railway Line was built in the area. At the time its name was “Naushera” which compelled the railway authorities to alter the name of the station, as Naushera was also the name of a station in Peshawar District. Consequently Nawab Muhammad Sadiq Khan named it Rahim Yar Khan after his first son Rahim Yar Khan, who was given as a hostage to Kalhoras in 1809. It was a fertile land, due to fertility raw material such as cotton, sugarcane and wheat etc. were available which gave an incentive to ginning factories, so with the passage of time ginning factories were cropping up. First of the Committee was established in the year 1905, which meant the recognition of the fact that Rahim Yar Khan grown into a small urban center by that time. The administration of the committee was run through the tesildar and centrally controlled by Bahawalpur Municipal Committee. At that time the District Head Quarter was Khanpur. Thereafter, in the year of 1930 Rahim Yar Khan was designated as a District Head Quarter. In 1930 an extension development scheme was made, according to this scheme Jadeed Bazar, Sadar Bazar, Qazi Bazar, and School Bazaar were developed. In the year 1933 the town committee attained that status of a Municipal Committee a whole time Secretary was appointed. The Ex-Officio Chairman of the Municipal Committee used to be the Session Judge of the District. The total yearly income in the year 1933 is reported to be Rs. 21,000.00 only. At the time of defunct Bahawalpur State, Rahim Yar Khan Municipal committee was of the status of first class. In 1942 was a fairly good industrial town and cotton center with a population of approximately 8,000 persons. Before independence Mr. Nehru and Mr. Patel tried to persuade Nawab Muhammad Sadiq Abbasi to join India but he refused all temptations.

Being an industrial center, it has got several mills and factories all over the town making it extremely unhealthy. Elected representative took the

01

responsibilities in the year 1949; Erection of factories in residential areas had caused unhygienic conditions. In the year 1950, Improvement trust was created face lifting of the town started. Under this organization many new schemes and two factories that are Abbasia Textile Mills and Sadiq Vegetable and Oil Mills (now Lever Brothers) where established which played a vital role in the urbanization of the city. Moreover Sadiq Bazar, Railway Bazaar, Shahi Bazaar and Grain Market were also established under this organization. A detailed layout plan of industrial estate was also made by improvement trust. In the year 1959 full time administrator was appointed for Municipal Committee, In 1960 Municipal Committee was run by elected members. In the year 1970 Improvement trust was amalgamated in the Municipal Committee.

LandscapeRahim Yar Khan is situated between 27°40'-29°16' north latitudes and 60°45'-70°01' east longitudes and covers an area of 11,880 square kilometers. It lies in the South East of Punjab Province. The River Indus separates Rahimyar Khan from Muzafargarh, Rajanpur, Kashmore & Ghotki districts. The district borders with Muzaffargarh district on the north, with Jasilmir (India) and Ghotki district of Sindh province on the south, with Bahawalpur district on the east, and with Rajanpur district on the west. The district has a very hot and dry climate in summer. The maximum temperature touches 49.7C. The minimum temperature recorded is 6.8C. The average annual rainfall in the district is 165 mm. The district based on its physical features, the district can be divided into three parts i.e. canal-irrigated area, riverside area and the desert area. To the South West of this area lies the canal irrigated area. The Riverside area of the district lies close to the river Indus and Panjnad. The land in this area is higher than that of the riverside area. The approximate height of this area is 150 to 200 meters above sea level. The desert area lies in the South-East of the district. It is called as the Cholistan. It extends into Bahawalpur and Bahawalnagar districts, occupying the South-Eastern part of the two districts.

CultureRahim Yar Khan enjoys a diverse culture with inhabitants belonging from different ethnicities and race. The major tribes in the district include Arain Jat, Rajput and Gujjar. Kabaddi is liked and played almost in all urban and rural areas of the districts. The district many has famous bazaars such as Sadiq Bazar, Bano Bazar and Shahi Bazar.

In Cholistan area, women generally wear short shirts and ghagras and Dopattas and male prefer to wear long loose shirt hanging up to the knees, made of coarse cloth, a chadder and pagri. People use cheap and coarse cloth for dresses. For footwear, men in the rural areas wear locally made shoes prepared by the village cobbler (mochi). The women of this area are very fond of wearing ornaments, both golden and silver.

The population of the district is predominantly Muslims i.e. 96.7 percent. The next higher percentage is of Hindu (Jati) with 1.8 percent, followed by Scheduled Castes 0.6 percent. While other minorities like Christians, Ahmadi etc. are very small in number. The proportion of population of Muslims is higher in urban than rural areas

02

LanguageMajor languages spoken in the district are Saraiki and variety of Punjabi dialects including thaochi, jandali, shanpuri Riasti, Majhi, Malwi, Bagri/Choolistani and Haryanvi. Urdu is spoken and understood by majority of population whereas English is understood by people with higher education background.

Traditional CraftsThe traditional crafts of the district mainly include engraved metal uten-sils and light weight pottery with geometrical designs. The Bhong Mosque in Rahim Yar Khan boasts an extraordinary modern architecture and interior (winner of the Aga Khan Award for Architecture). It is built in traditional style with extravagant use of gold leaf, mirror work and onyx and is particularly famous for its stylized Arabic calligraphy. The utensils engraved with flowers are produced at Khanpur and are considered a fine specimen of workmanship. The light weight pottery making is concen-trated at Khanpur and Garhi Ikhtiar Khan and generally comprises “Piyalas” and double walled “Surahis” ornamented with symmetrical holes and raised flower designs. Gun-making is another traditional craft practiced at Ghari Ikhtiar Khan, Collyrium boxes, cauldronsand other brass and copper articles like dishes are also being fabricated.

Tourist Attractions Bhong Mosque: This mosque is located 40 km from city of Rahim Yar Khan. It stands among the most beautiful mosques in the world. Pattan Minara (Light House): An ancient tower (lighthouse) at the bank of river Hakra or Ghagra which lies almost 10 km from city. The remnants of the building are long gone but this tower is still existing. Mausoleums: Many saints are buried in the district and being visited for centuries by pilgrims. Their tombs have traditional architecture which make these important tourist attractions. Desert safari is another important activity of the district. Every year notables from the royal family of United Arab Emirates also come to explore the Cholistan desert.

Notable People Muniba Mazari- Artist, Motivational speaker Ahmed Raza- Cricketer Khawaja Ghulam Farid- Punjabi sufi poet

Food HabitsWheat is the staple food grains of this area. Bajra or maize is also used in the villages in lieu of wheat. People in the rural area mostly consume vegetables, pulses, milk butter and ghee. The inhabitants ordinarily take meals thrice a day. The first in the morning before leaving for the work on the fields and consist of wheat bread with lassi (curd with water) milk and butter. The midday meal consists of wheat bread with lassi, onions, chilies, pickles, and seldom with cooked vegetables and meat. While evening meal is taken at home on return or in the field after the day’s work and generally comprises wheat bread with vegetables, beef or mutton and in the summers with milk. Vegetables are consumed mostly in winter when turnibs, radish and mustard are plentiful. Sag (pot herb) and dal are commonly used in super. Chopri roti (bread smeared with ghee or butter) is given to the working male members of the family and the women folk rarely enjoy this buttered bread.

Addition of Gur or Sugar makes it of surpassing richness. Tobacco is com-monly smoked by the male cultivators. Dates and mangoes are the favor-ite fruits and the poor take them with chapati. Meat is rare commodity in villages available only at once a week and generally in the form of beef. In sadiqabad area, a favorite dish of rich is saji, a goat or lamb roasted in the oven or on fire.

Bhong Mosque

Pattan Minara, (2000 year old Buddhist Monastery)

Floral Patterns

Govt. Schools Colleges Universities

3,236 10 2Educational

FacilitiesPublic Health Care Facilites

(Numbers)

137

Tourist Attractions

Major CropsWheat, Cotton, Sugarcane, Rice and Corn

Major FruitsMangoes, Citrus, Dates and Guava

Major VegetablesOnion, Cauliflower, Tomato, Carrot, Turnipand Lady Finger

Major LivestockGoats, Buffaloes, Cattles and Sheep

Agriculture Major Industries

Picnic ResortBhong Mosque, Town Hall

Historical SitesPattan Minara, Bijnot Fort

2Dairy Products

1Drugs &Pharmaceuticals

1Fertilizer

1 Chemical 2 Bevereg

4 Seed Processing

5 Rice Mills 5 Poultry Feed 1 Paper &Paper Board

1 G.I./M.S. Pipes

1 Ice Cream

41 Flour Mills

1 Fruit Juices

1 Industrial/ Burn Gases

206Cotton Ginning& Pressing

4 Oil Industry

4 Cold Storage

DISTRICT RAHIM YAR KHAN AT A GLANCE

Lat: 27°40'-29°16' north Long: 60°45'-70°01' east Neighbouring Districts North

MuzafargarhEastBahawalpur

WestRajanpur

SouthGhotki and India

Geography

Tehsils

4

Union Councils103Mouzas

1132Municipal Com

mittees

681

Rahim Yar Khan

12935.6 sq.km

Saraiki, Punjabi, Urdu

District Capital

Language

Area

Elevation to District 1943

TehsilsKhanpurLiaqatpurRahim Yar KhanSadiqabad

Union Councils Mouzas MunicipalCommittees

2424

30302626

255255

251251311311

315315 124124

149149199199

209209

2323

Administrative Setup

Growth Rate

2.27%(2017 Census)

Total Population in District Population Density (Person per sq.km)

3,141,053

5,445,880

1998 Census

2017 Census

243

421

1998 Census

2017 Census


Location

03

DISTRICT ADMINISTRATIVE MAP

04

28.04%

3.06%

13.24%

1.04%

17.70%

2.79%

13.55%

20.58%

The surface geology of Rahim Yar Khan is mainly composed of Alluvium & Extrusive Mud (28.041%), Older Eolian Deposits (20.580%) and Stream Deposits (17.703%). The alluvial plain is located adjacent to the Indus River, whereas the rolling sand dunes cover the Eolian plain of the Cholistan desert. Within this part of the desert the dunes-increase towards the northwest. Other geological composition of the district includes Deposits of Extinct Streams (13.240%), Older Terrace Deposits (13.552%), Alluvium (1.040%), Bedrock (3.058%), Stream bed and Meander-Belt Deposits (2.786%).

Geologically, Rahim Yar Khan is underlain by a thick sequence of sediments consisting of sand, silt and clay deposits of fluvial and aeolian origin, ranging in age from Pleistocene to most Recent. The sediments, formed as channel infills, levees and overbank flood plain deposits, show both lateral and vertical lithologic variation. This is due to the cyclic shifting in the course of the Indus River and its tributaries which laid

2 GEOLOGY

Alluvium

Alluvium and Extrusive Mud

Bedrock

Deposits of Extinct Streams

Older Eolian Deposits

Older Terrace Deposits (Middle)

Stream Deposits

Streambed and Meander-Belt Deposits

133.95

3611.83

393.903

1705.352

2650.746

1745.614

2280.205

358.87

12880.47

Geological Formation Area (sq.km) Composition

1.04%

28.04%

3.06%

13.24%

20.58%

13.55%

17.70%

2.79%

Geological Composition

Alluvium

Alluvium and Extrusive Mud

Bedrock

Deposits of Extinct Streams

Older Eolian Deposits

Older Terrace Deposits (Middle)

Stream Deposits

Streambed and Meander-Belt Deposits

down these sediments. The grain size decreases laterally from northeast to southwest, which point to heterogenic conditions of deposition, and a cause for variation in the permeability values of the layers. The absence of continuous clay layers, in general, is indicative of the presence of unconfined aquifers in the fluvial sediments.

05

06

GEOLOGY MAP

3 LAND USE & LAND COVERLand Cover (LC) is defined as the observed (bio) physical cover on the earth's surface, whereas Land Use (LU) is characterized by the arrangements, activities and inputs that people undertake in a certain type of land in order to produce, change or maintain it. Knowledge of the LC/LU distribution helps Land Use Planners and Policy Makers to determine pragmatic land use polices.

Land Cover/ Land Use (LC/LU) processes are important to be monitored since they are the direct drivers of Climate & Ecosystem Change. For this study, LC/LU demarcation carried out by Space & Upper Atmosphere Research Commission (SUPARCO) has been used which provides a comprehensive description of the biotic and abiotic resources of the study area and includes, inter alia, numerous categories of cultivated land; natural vegetation and non-vegetated areas including bare

and rocky areas, and areas of human settlements. In this study, Land Cover Classification System (LCCS) approach has been used with an aim to capture the physiographic characteristics down to a UC level.

The geospatial database, prepared by SUPARCO, is used to provide basis for the development of an improved capacity for natural resources monitoring and management.

The legend consisting 13 main land cover classes have been used in this study which are being further subdivided into 36 classes, and have been mapped based on the analysis, interpretation and validation of SPOT-5 high resolution satellite imagery (5 meter). For this purpose, satellite images were segmented into homogeneous polygons and labeled using the LCCS classification system.

07

LAND COVER DISTRIBUTION(Percentage)

Tehsil Khanpur Tehsil Liaqatpur

Rahim Yar Khan Tehsil Sadiqabad

Crop Marginaland Irrigated Saline

Orchards

Built-Up Areas

Crop Irrigated

Wet Areas 1.2

Bare Areas 0.2

Bare Areas with SparseNatural Vegetation 42

47

1.3

0.9

Crop in Flood Plain4

Forest-Natural trees and Mangroves0.4Natural Vegetation inWet Areas1

2.2

Range Lands - Natural Shrubs and Herbs 0.2


Orchards

Built-Up Areas

Crop Irrigated

Wet Areas 2.14

Bare Areas

0.19

Bare Areas with SparseNatural Vegetation 22.1

59.6

3.8

0.7Crop in Flood Plain 6.4

Forest-Natural trees and Mangroves2.7Natural Vegetation inWet Areas 3.89

4.15

Range Lands - NaturalShrubs and Herbs 0.44


Orchards

Built-Up Areas

Crop Irrigated

Wet Areas 1.9

Bare Areas

0.73

Bare Areas with SparseNatural Vegetation 22.6

58.7

1.8

3.11Crop in Flood Plain 6.15

Forest-Natural trees and Mangroves0.80Natural Vegetation inWet Areas 1.39

2.54


Orchards

Built-Up Areas

Crop Irrigated

Wet Areas 0.52

Bare Areas 0.29

Bare Areas with SparseNatural Vegetation 58.6 34.4

0.08

0.41Crop in Flood Plain2.4

Forest-Naturaltrees and Mangroves0.5

Natural Vegetation inWet Areas1.1

1.16



Orchards

Built-Up Areas

Crop Irrigated

Wet Areas 1.46

Bare Areas 0.19

Bare Areas with SparseNatural Vegetation 44.6 45.7

0.2

0.01

Crop in Flood Plain3.35Forest-Naturaltrees and Mangroves0.06

Natural Vegetation inWet Areas2.25

1.59


0808

LAND USE & LAND COVER MAP

09

19 – 50m

51 – 100m

101 – 150m

151 – 200m

201 – 251m

0.72

10905.91

1979.34

49.35

0.12

ElevationBands

District Total(sq.km)

-

2957.87

118.57

0.00

-

-

2795.41

1814.77

48.67

-

0.70

2537.91

21.47

0.36

0.10

0.02

2614.28

24.40

0.31

0.01

Khanpur Liaquatpur Sadiqabad Rahim Yar Khan

Tehsil Wise Area Coverage (sq.km)

Khan

pur

Liaq

uatp

ur

Sadi

qaba

d

Rahi

m Y

ar K

han

83.7

104.12

84.84 78.67

Tehsil Wise Mean Height(Meter)

Elevation Distribution ofDistrict Rahim Yar Khan

2,000 4,000 6,000 8,000 10,000 12,0000

19 – 50m

51 – 100m

101 – 150m

151 – 200m

201 – 251m

Elev

atio

n (M

eter

)

Area in sq.km

Elevation is the measurement of height of the land with respect to sea level or the sea floor. Elevation maps are used to identify how flat, elevat-ed or hilly an area is, as well as to analyze other features of land using contour lines and symbols.

The elevation of the district is between 252m (High) to 15m (Low). It can be analyzed from the map that around 84% of the district lies within elevation range of 51 – 100m.

4 ELEVATION

09

MUZAFFARGARHMUZAFFARGARH

SadiqabadSadiqabad

Rahim Yar KhanRahim Yar Khan

KhanpurKhanpur

LiaquatpurLiaquatpur

10

ELEVATION MAP

5 POPULATION DISTRIBUTION

Tehsil WisePopulation of 2015

1,530,330

496,661809,848

693,057534,888

762,217

RAHIM YAR KHAN Khanpur SADIQABAD LIAQAT PUR

Rahim Yar Khan Sadiqabad Liaquatpur Khanpur

1,264,752 1,035,509 983,415

Total Population (Projected 2017)

4,814,006608,243

658,249

MALE 2,838,0742,607,809FEMALE

Total

Tehsil Wise Gender Distribution(Projected 2015)

882,720

TotalTotalTotalTotalTotalTotal

T

Population onBasis of Religion (1998) 5,445,880

1998 Census

2015 Census

3,141,05314,085Christians

2,667Qadiani Ahmadi

56,057Hindu / Jati

3,039,264Muslims Others

11,531Scheduled Castes

17,449

48%

62%

65%

32%

RuralM F

Total38%

MFUrban

15%

2015Literacy Rate (%)

2015

Mother Tongue

857,718

Urdu90,910

Pushto

Punjabi

23,106

Sindhi62,632

Saraiki1,967,126

Balochi35,466

104,095Others

3,141,053 2,524,471 616,582Age

Group

250,666254,920182,196140,598134,397113,62189,41363,10568,03555,56447,19029,63428,31515,75714,28716,491

0 to 45 to 9

10 to 1415 to 1920 to 2425 to 2930 to 3435 to 3940 to 4445 to 4950 to 5455 to 5960 to 6465 to 6970 to 74

75 & Above

261,187284,301213,242150,187133,339119,533102,44873,00067,23157,56352,36235,81931,45218,56717,12019,513

1,636,8641,504,189

FEMALE MALE

AgeGroup

206,176208,292142,146108,814107,49391,34070,74549,42554,07545,08638,33323,89323,27912,80211,86813,659

0 to 45 to 9


75 & Above

214,032234,038169,606117,207105,88796,04581,87356,76752,71446,41342,38828,81625,86614,99414,19016,209

1,317,0451,207,426

FEMALE MALE

AgeGroup

44,49046,62840,05031,78426,90422,28118,66813,68013,96010,4788,8575,7415,0362,9552,4192,832

0 to 45 to 9


75 & Above

47,15550,26343,63632,98027,45223,48820,57516,23314,51711,1509,9747,0035,5863,5732,9303,304

319,819296,763

FEMALE MALE

Population Rural Population Urban Population

Age & Location Wise DisaggregatedPopulation (1998 Census)

BOTHSEXES

191,861233,154

267,736

276,885

395,438

136,105135,266

113,127

99,552

65,453

59,767539,221

34,32436,004 31,407

511,853

30-3425-

2940-4420-

2445-49

50-54

55-59

15-1910-14

05-09 00-

04 75 &Above

70-74

65-69

60-64

35-39

BOTHSEXES

152,618187,385

213,380

226,021

311,752

106,192106,789

91,499

80,721

52,709

49,145442,330

27,79629,868 26,058

420,208

30-3425-

2940-4420-

2445-49

50-54

55-59

15-1910-14

05-09 00-

04 75 &Above

70-74

65-69

60-64

35-39

BOTHSEXES

39,24345,769

54,356

64,764

83,686

29,91328,477

21,628

18,831

12,744

10,62296,891

6,5286,136 5,349

91,645

30-3425-

2940-4420-

2445-49

50-54

55-59

15-1910-14

05-09 00-

04 75 &Above

70-74

65-69

60-64

35-39

According to the census report of 1998 Rahim Yar Khan was inhabited by a total of 3,141,053 people amongst which 1,636,864 are Male and 1,504,189 are Female. The projected population for the year 2015 is

5,445,880 persons. The annual growth rate is 3.19%. Average household size is 7.5 and number of housing units reported is 416,215 according to the census of 1998.

Liaqat Pur

55,93618,78020,48212,38423,16417,44519,45119,77919,15220,80321,53421,19817,75518,28918,06418,74718,69120,22175,91022,50516,371

59,41320,15221,78413,53125,63418,34120,97821,23120,63721,84523,38823,11619,41520,01919,13620,59520,19621,70981,78924,92617,053

AZIM SHAH

BAGHO BAHAR

CHACHRAN SHARIF

CHAK NO 045/P

CHANDIA

DINPUR SHARIF

GARHI IKHTIAR KHAN

GHANA LAR

GHAZI PUR

JAJJA ABBASSIAN

JETHA BHUTTA

JHORAN

KOTLA PATHAN

LATKI

MAD BAHORA

MARI ALLAH BACHAYA

MUEENABAD

NAWAN KOT

NEEL GARH

QADIR PUR

SEHJA

Union Councils

Khanpur

32949215162377224473230422722020440223842141728534254012341723569238162687621516231052898526905146982566724749279492605919784

37686227192606426452251092951222348240982290128844270102611925359258292916323669248833055129953157932784726550304652801721308

178/7-R

AHMAD ALI LAR

ALLAH ABAD

AMINABAD

CHAK NO 010/ABS

CHAK NO 042/ABS

CHAK NO 046/ABS

CHAK NO 068/ABS

CHANJNI

DASHTI

DUFLI KABIR KHAN

GHUKA

GUL MOHAMMAD LANGAH

HAYAT LAR

JAN PUR

JHOK GULAB SHAH

KHAN BELA

Liaquatpur CITY

MOHAMMAD DAHA

NALA MUSANI

PAKKA LARAN

SHAIDANI SHARIF

TRINDA GURGAIJ

TRINDA MOHAMMAD PANAH

ZAFFAR ABAD

Union Councils

Rahim Yar Khan

18,09824,01918,53656,25416,92224,45618,23817,99120,63817,76521,06615,05326,06415,36421,90853,35822,51714,14922,49122,25715,259171,49222,25921,06620,85419,15720,08332,95519,579

19,43728,64119,90260,23318,81427,57019,82119,44022,38518,88723,40916,55128,22916,47023,55757,83124,81415,12424,00924,00116,883186,05625,39923,13923,77219,92122,10534,95521,365

ABAD PURAKRAM ABADAMAN GARHAMIN GARH

BADLI SHARIFBAHAUDI PUR QURESHIAN

BAHISHTIBULAQI WALI

CHAK NO 105/PCHAK NO 139/PCHAK NO 228/PCHAK NO 51/PCHAK NO 84/P

DARI AZIM KHANGALOUR MASSU KHAN

HAJI PURKOT MEHNDI SHAH

MAU MUBARIKMIANWALI QURESHIANMIANWALI SHEIKHAN

MURTAZA ABADRAHIM YAR KHAN

RAJANPURSHAH PUR

SHERINSONAK

THUL KHAIR MOHAMMAD KTIBBI GUL MOHAMMAD

WAH KOHNA

Union Councils

Sadiqabad

17,55349,86524,22618,37626,15822,40820,86990,56723,60125,44624,86817,07427,38818,27220,67822,01526,39521,81021,77868,46682,06423,180

18,83053,66426,23620,42428,34524,57923,62999,20525,97627,97427,47319,26531,32720,22523,19724,61229,57223,97923,81275,59389,20325,097

ADAM SOHABA

AHMAD PUR LAMMA

BHONG

BHOTA WAHAN

CHAK NO 160/P

CHAK NO 173/P

CHAK NO 264/P

DHANDI

DRIGRA

GOTH JANGOO

JAMAL DIN WALI

KOT SANJAR KHAN

MACHKA

MOHAMMAD PUR

MUHIB SHAH

NAWAZABAD

RAHIMABAD

RANJHE KHAN

RASOOL PUR

ROSHAN BHAINT

SADIQABAD

SANJARPUR

Union Councils

11

POPULATION DISTRIBUTION MAP

12

6 POPULATION DENSITYThe average population density of District Rahim Yar Khan is nearly 140 persons per sq.km in 1998 which in 2015 has grown to 421 persons per sq.km. The most densely populated Tehsil of the district is Rahim Yar Khan whereas Tehsil Liaqat Pur is the comparably sparsely populated.

Union Councils Population Male Female Area (sq km)

Azim ShahBagho BaharChachran SharifChak No 045/pChandiaDinpur SharifGarhi Ikhtiar KhanGhana LarGhazi PurJajja AbbassianJetha BhuttaJhoranKotla PathanLatkiMad BahoraMari Allah BachayaMueenabadNawan KotNeel GarhQadir PurSehja

115,34938,93242,26625,91548,79835,78640,42841,01039,78942,64844,92244,31437,16938,30937,20039,34238,88741,930

157,69847,43133,424

59,41320,15221,78413,53125,63418,34120,97821,23120,63721,84523,38823,11619,41520,01919,13620,59520,19621,70981,78924,92617,053

55,93618,78020,48212,38423,16417,44519,45119,77919,15220,80321,53421,19817,75518,28918,06418,74718,69120,22175,91022,50516,371

91108194957368636668567754599252608379

10510828

Tehsil Total: 1,031,547 534,888 496,661 3076.45

Density( Person / sq.km)

1,269361217272670530647619581766584828631415714651469528

1,508439

1,201

335.30

Tehs

il Kh

anpu

r

Rahim Yar Khan

641.3

Khanpur

335.3

Sadiqabad

568.3

Liaqat Pur

271.8

Tehsil Wise Population Density(Persons/sq.km)

13

1269

361

217

272

670

530

647

619

581

766

584

828

631

415

714

651

469

528

1508

439

1201

178/7-rAhmad Ali LarAllah AbadAminabadChak No 010/absChak No 042/absChak No 046/absChak No 068/absChanjniDashtiDufli Kabir KhanGhukaGul Mohammad Langah UHayat LarJan PurJhok Gulab ShahKhan BelaLiaquatpur CityMohammad DahaNala MusaniPakka LaranShaidani SharifTrinda GurgaijTrinda Mohammad PanahZaffar Abad

70,63544,23649,83650,92548,15156,73342,78846,48344,31757,37852,41149,53648,92949,64456,03945,18547,98859,53656,85830,49153,51551,29958,41454,07641,092

37,68622,71926,06426,45225,10929,51222,34824,09822,90128,84427,01026,11925,35925,82929,16323,66924,88330,55129,95315,79327,84726,55030,46528,01721,308

32,94921,51623,77224,47323,04227,22020,44022,38421,41728,53425,40123,41723,56923,81626,87621,51623,10528,98526,90514,69825,66724,74927,94926,05919,784

2,511503

1,126992325510643507

1,0421,201600834453586

1,200490

1,1896,4801,001667

1,0271,382687

1,126896

28884451

148111679243488759

108854792409

57465237854846

Tehsil Total: 1,266,495 658,249 608,243 271.814659.33

Tehs

il Li

aqua

tpur

2511

503

1126

992

325

510

643

507

1042

1201

600

834

453

586

1200

490

1189

6480

1001

667

1027

1382

687

1126

896

Adam SohabaAhmad Pur LammaBhongBhota WahanChak No 160/pChak No 173/pChak No 264/pDhandiDrigraGoth JangooJamal Din WaliKot Sanjar KhanMachkaMohammad PurMuhib ShahNawazabadRahimabadRanjhe KhanRasool PurRoshan BhaintSadiqabadSanjarpur

36,383103,52850,46238,80054,50346,98744,498

189,77249,57753,42052,34136,33858,71438,49743,87546,62755,96745,78845,589

144,059171,26748,277

18,83053,66426,23620,42428,34524,57923,62999,20525,97627,97427,47319,26531,32720,22523,19724,61229,57223,97923,81275,59389,20325,097

17,55349,86524,22618,37626,15822,40820,86990,56723,60125,44624,86817,07427,38818,27220,67822,01526,39521,81021,77868,46682,06423,180

6593

11042

10910316522072906273

2407673

103823690512346

5641,115459934500457269863687594850497245505604453686

1,275507

2,8357,5511,044

564

1115

459

934

500

457

269

863

687

594

850

497

245

505

604

453

686

1275

507

2835

7551

1044

Tehs

il Sh

ujab

ad

Tehsil Total: 1,455,269 762,217

District Total: 5,445,880 2,838,074 2,607,809 12.936 865

693,057 2560.74

Abad PurAkram AbadAman GarhAmin GarhBadli SharifBahaudi Pur QureshianBahishtiBulaqi WaliChak No 105/pChak No 139/pChak No 228/pChak No 51/pChak No 84/pDari Azim KhanGalour Massu KhanHaji PurKot Mehndi ShahMau MubarikMianwali QureshianMianwali SheikhanMurtaza AbadRahim Yar KhanRajanpurShah PurSherinSonakThul Khair Mohammad KTibbi Gul MohammadWah Kohna

37,53452,66038,439

116,48735,73752,02638,05937,43243,02336,65244,47531,60454,29331,83445,465

111,18947,33129,27346,50146,25832,142

357,54847,65844,20544,62539,07842,18867,91040,943

19,43728,64119,90260,23318,81427,57019,82119,44022,38518,88723,40916,55128,22916,47023,55757,83124,81415,12424,00924,00116,883

186,05625,39923,13923,77219,92122,10534,95521,365

18,09824,01918,53656,25416,92224,45618,23817,99120,63817,76521,06615,05326,06415,36421,90853,35822,51714,14922,49122,25715,259

171,49222,25921,06620,85419,15720,08332,95519,579

59474163427666764760

22995

1176960716570835165

10872859369754762

637

1126

928

1862

843

688

573

496

915

607

194

334

466

464

756

1558

730

420

562

903

494

3312

664

517

482

568

566

1440

662

6371,126928

1,862843688573496915607194334466464756

1,558730420562903494

3,312664517482568566

1,440662

Tehs

il Ra

him

Yar

Kha

n

Tehsil Total: 1,692,569 882,720 809,848

Socio

-Eco

nom

icsSt

atis

tics

(201

5)

Un-E

mployment Rate

5.9% 2.4%

Recei

ving

Remittances from Abroad

12%

Fam

ily M

embe

rs Working Outside Village/Town

6.0%

Rece

ivin

g Remittances from Pakistan92%

Hous

ehol

d M

em

bers having more than 2 Possessions

14

568.29

2,639.15 641.33

POPULATION DENSITY (2015) MAP

16

7 SETTLEMENTS

Settlements Vulnerable to Riverine Flood on Basis ofInundation Frequency (2010 to 2017)

The settlements of the district include tehsils, union councils, cities and villages. We can broadly classify the settlement of Rahim Yar Khan District into two categories i.e. Urban and the Rural Settlement. The geographic distribution of settlements over the district is manifested in the Settlement Map.Urban Sprawl of Rahim Yar Khan City in 1996 and 2013 is shown in the figures on the right. It can be seen that the most part of the city is occu-pied by the Agricultural land use i.e. 70.48 %, followed by the built-up land i.e. 28.04 % and barren land about 01.48%. In 2013 the Built-up area of the city increases with the decrease in agricultural and with a slight increase in barren land. The built-up land reaches up to 47.03% from 28.04% while there was a decrease of almost 20% in Agricultural land use and an increase of 01% in the barren land of the city in 2013.

Land Use Pattern (1996 & 2013)

Legend

City BoundaryBuilt-up AreaAgricultural Land WaterbodiesBarrem Land

ClassBuilt-up AreaAgricultureWater BodiesBarren Area

Area %199628.0470.480.001.48

Area %201347.0350.310.002.65

ChangeDetection %18.9920.170.001.17

Basti Arain

Gudpur

Samuka Minor

Mahran

Chenab

Ahmad Kudan

Basti Machhi

Samuka

Pir Shah

Gharu

Mad Adil

Bahar Gopang

Sadan

Nuran Channa

Darbari Khan

Basti Machhian

Minchan Bund

Goth Qadir Bakhsh

Chakar Darbari

Basti Sathar

Basti Goghe

Basti Bela Gopang

Basti Sadlan

Karim Bakhsh

Bakhshan Mahar

Chacharan

Sherwali

Bet Jhangani

Gullan Machhi

Baran Pahor

Tehs

il Kh

anpu

r

Basti Bhangar

Basti Gabol

Basti Abdullah

Basti Jalal Khan

Basti Beldar

Noorwala

Basti Malik Qasir Bakhsh

Bet Murad

Basti Danuna

Langah

Basti Gul Muhammad

Ahmadyar

Basti Makhdum

Tibbi Jhulan

Bana Roiah

Basti Lal Khan

Hotha Jarh

Sem

Basti Haji Din Muhammad Unar

Unran

Bet Nurwala

Tehs

il Li

aqua

tpur

Hayat Machhi

Basti Miran Shah

Chhatte Khan di Basti

Gopanganwali

Basti Ghulam Hussain Mohana

Luhari Inspection Bungalow

Basti Moshori

Barnes Wah

Basti Qadar Bakhsh Mamai

Kotla Bakhsh

Basti Bandroe

Basti Baloch

Basti Dhammar

Basti Gopang Baloch

Basti Kandewali

Shahidabad

Basti Haji Allah Dad

Basti Ruk

Bet Diwan

Chohan

Basti Khokharan

Basti Mindh

Bet Banhar

Bet Baluch

Ghaghar

Qasaiwala

Shah Wasawa

Mad Ranjha Resthouse

Kundrala

Ahmad Bakhsh

Basti Dhukut Gopang

Basti Jam Siddiq

Basti Ahmad Ali

Basti Thume Parara

Basti Mohana

Basti Ilahi Bakhsh

Basti Paolian di

Bet Ahir

Minchin Bund

Bet Bhutto

Basti Bhutto

Bet Channan

Shah di Basti

Basti Ghulam Rasul

Basti Jhallar

Tibbi Burra

Machhiwala

Bakhshu Bhir

Basti Malik Budha Machhi

Jhullan

Basti Pattan

Mad Ranjha

Basti Balhara

Ahmad Ali Lar

Basti Haji Faqir Bakhsh Mahr

Basti Machhi

Basti Fazal Ahmad Khan Dahar

Basti Jam Siddiq Unar

Basti Doewala

Kotla Parara

Basti Manzur Ahmad Gopang

Basti Bijar Khan Gopang

Basti Makhdum Jahan Shah

Basti Fazal Khan Dahar

Basti Mohana

Basti Indrah

Basti Haslani

Khanpur Narakha

Fakhar Abad

Bet Machhi

Basti Chakar

Basti Jalal Lar

Basti Khuda Bakhsh Hir

Basti Muhammadani

Basti Dahe

Basti Jam Muhammad

Chakar Nurwala

Basti Sher

Basti Parhar

Sarki

Basti Dreshak

Basti Rahim Bakhsh Metla

Basti Beratha

Basti Khokharan

Mad Lai Khan

Basti Mamdani Dahar

Basti Shakri

Basti Sadiq Shah

Basti Jam Ahmad Chowhan

Khassar

Muhammduwala

Basti Muhammadi Gopang

Mad Daulat Shah

Jhullan

Qaim Sarki

Basti Pir Jafar Shah

Basti Faqir Bakhsh Naich

Bhangwala

Flood Inundation Frequency

Legend:

1 2 3 4

17

Settlements Vulnerable to Riverine Flood on Basis ofInundation Frequency (2010 to 2017)

Gonji

Basti Musani

Chak Forty-five

Nabi Bakhsh Kosh

Lakhan

Mahar Buldi

Dilawar

Kalo Shaikh

Kaura Faqir

Basti Haji Alam Din

Khair Muhammad Khambra

Jam Kale

Daowala

Rahman Farm

Kamal Khan Kosh

Nur Shah Nurani

Kotla Jafar

Khan Wah

Rasul Bakhsh Mazari

Modah Chachar

Haji Nawab Khan Kosh

Sametra

Allah Diu Abbasi

Ballu

Daowalo

Rahim Bakhsh

Basti Khair Muhammad

Quraishi

Nazir Khan Dadpota

Tehs

il Sa

diqa

bad

Wasti Jiwan Shah

Kotla Jafar

Goth Fateh Muhammad

Badra Khan Korai

Jamal Khan

Goth Sain Chando

Pathan Sher

Ramzan Bhutto

Kamal Wah

Chak Gul Muhammad

Dodo Khan Khsa

Din Muhammad

Launa

Murid Minor

Mughal Machhi

Sukkur Bund

Sadi Khan

Goth Sumar

Baya

Massuwali

Dilwaro

Fatehpur

Mithu Machhi

Gudo Dhand

Pir Bakhsh

Allah Wasayo

Goth Mangar

Kharar

Goth Arban

Thul

Dura Khan Dasti

Nur Muhammad Sher

Goth Qadir Bakhsh

Gondak Bela Reserved Forest

Rais Ali Ahmad

Machka

Goth Yaqub


Legend:

1 2 3 4

Basti Saiyidan

Basti Chandia

Basti Chander

Chak Forty-Six

Basti Jam Karim Bakhsh

Ilahu

Basti Jam Lalu

Abad Minor

Mochi Machhi

Miani

Sema

Basti Phuin Khambra

Fatehpur

Mustafa Mondra

Allah Bakhsh Jhabil

Hamidpur

Makaure da Wahan

Basti Jam Bakhsh

Allah Bakhsh Gopang

Basti Nazar Muhammad Shah

Basti Gul Muhammad

Khai

Allah Bachaya

Khor

Basti Bet Dur Muhammad

Mohri

Basti Rais Pir Bakhsh

Mad Ismail

Basti Bannu Hot

Basti Machhi

Sari Basti

Shihan Nala

Basti Faqirullah

Bet Kacha Mahazi

Tehs

il Ra

him

Yar

Kha

n

18

SadiqabadSadiqabad


KhanpurKhanpur


SETTLEMENTS MAP

20

The distribution of building over different parts of the district is shown in the Building Distribution Map. Based on nature of building material used, buildings can be categorized as Kacha, Semi Pacca and Pacca as per Pakistan Bureau Statistics:

8 BUILDING DISTRIBUTION

House Hold Characteristics

Tehsil Wise Building Distribution

Tehsil Wise Building Distribution by TypeDistrict Total

29,011

22,504

12,514

29,286

Semi-Pacca

87,193

74,46558,745

43,859

Kacha

85,123

54,983

46,415

108,523

PaccaPacca

295,044Semi-Pacca93,315

Kacha264,262

Khanpur Liaqat Pur Rahim Yar Khan Sadiqabad

36%

Pacca Floor 76%

Pacca Roof 47%

Pacca Wall

Total Buildings: 652,621

Khanpur15%Sadiqabad

26%

Rahim Yar Khan27%

Liaqatpur32%

Pacca Semi Pacca Kacha

Khanpur8,5531,3581,676989

2,3782,0872,1302,0402,0761,4051,9173,2631,9771,4141,5742,3011,8152,8048,7032,4792,044

2,864819842744460672784

1,071746

1,4671,031521621900568458

1,184783

4,625831513

3,8172,9653,0641,6903,6071,9672,4252,3062,4322,7602,9842,0692,3112,7462,7712,4372,1361,9507,4982,9531,857

UC Wise Building Distribution

Azim ShahBagho Bahar

Chachran SharifChak No 045/p

ChandiaDinpur Sharif

Garhi Ikhtiar KhanGhana LarGhazi Pur

Jajja AbbassianJetha Bhutta

JhoranKotla Pathan

LatkiMad Bahora

Mari Allah BachayaMueenabadNawan Kot

Neel GarhQadir Pur

Sehja

Liaqatpur1,7071,7443,6982,2262,2432,3362,1262,4323,1193,1711,6492,7491,6524,4144,0291,1053,3405,4794,5861,3033,3812,7374,7142,7612,516

1,4151,066640

1,142966

1,003457508504

1,0211,1151,339563258782804801

1,259586767

1,087975514961703

6,5493,2472,4863,6053,3854,4303,2763,4252,4453,6654,4132,6944,4842,1262,8614,2792,430821

2,6132,1052,8603,3122,7713,6832,407

178/7-rAhmad Ali Lar

Allah AbadAminabad

Chak No 010/absChak No 042/absChak No 046/absChak No 068/abs

ChanjniDashti

Dufli Kabir KhanGhuka

Gul Mohammad Langah UHayat Lar

Jan PurJhok Gulab Shah

Khan BelaLiaquatpur City

Mohammad DahaNala MusaniPakka Laran

Shaidani SharifTrinda Gurgaij

Trinda Mohammad PanahZaffar Abad

Sadiqabad2,2327,0681,7241,9842,9222,7682,427

13,7922,3653,3521,7971,862824

2,1322,3942,5672,0713,0362,190

10,56412,0722,980

3891,762844450966398592

3,838995635533746

1,468691

1,089615

1,293804

1,2435,1293,599932

2,0624,7163,9272,5593,1272,8812,7087,2003,0202,8884,4072,0695,2652,1322,1632,8193,8392,0532,4343,1566,7382,302

Adam SohabaAhmad Pur Lamma

BhongBhota Wahan

Chak No 160/pChak No 173/pChak No 264/p

DhandiDrigra

Goth JangooJamal Din Wali

Kot Sanjar KhanMachka

Mohammad PurMuhib ShahNawazabadRahimabad

Ranjhe KhanRasool Pur

Roshan BhaintSadiqabadSanjarpur

Rahim Yar Khan1,2533,3433,2549,6421,9442,4281,9151,0792,4042,3911,1841,7713,0501,6242,7146,8063,0711,1853,4963,4831,584

29,8713,3032,1371,6583,0071,1065,9771,843

851775329

2,904371872318

1,542310244

1,025348

1,171456442

1,211756891465285257

8,672528486590339953826

1,069

2,8442,8251,4853,1422,3963,5592,7862,3142,9582,1973,6542,0482,9382,1162,8396,9572,4141,7842,1692,3312,3979,6092,4523,2053,6351,8063,5042,3432,486

Abad PurAkram Abad

Aman GarhAmin Garh

Badli SharifBahaudi Pur Qureshian

BahishtiBulaqi Wali

Chak No 105/pChak No 139/pChak No 228/p

Chak No 51/pChak No 84/p

Dari Azim KhanGalour Massu Khan

Haji PurKot Mehndi Shah

Mau MubarikMianwali QureshianMianwali Sheikhan

Murtaza AbadRahim Yar Khan

RajanpurShah Pur

SherinSonak

Thul Khair Mohammad KTibbi Gul Mohammad

Wah Kohna

21

BUILDING DISTRIBUTION (2015) MAP

22

9 BUILDING DENSITY

There are a variety of building groups in District Rahim Yar Khan, covering residen-tial, non-residential, office and administrative buildings, which are located in areas with relatively favourable geo-physical and socio-economic conditions. Liaquatpur

37

Khanpur44Sadiqabad

74

Rahim Yar Khan85

Tehsil Wise Building Density(Buildings / sq.km)

Union Council Pacca Semi Pacca Kacha Total Buildings Area(sq.km)

Density(Buildings / sq.km)

Building Types

Tehsil Total:

Tehs

il Kh

anpu

r

Azim ShahBagho BaharChachran SharifChak No 045/pChandiaDinpur SharifGarhi Ikhtiar KhanGhana LarGhazi PurJajja AbbassianJetha BhuttaJhoranKotla PathanLatkiMad BahoraMari Allah BachayaMueenabadNawan KotNeel GarhQadir PurSehja

8,5531,3581,676989

2,3782,0872,1302,0402,0761,4051,9173,2631,9771,4141,5742,3011,8152,8048,7032,4792,044

2,864819842744460672784

1,071746

1,4671,031521621900568458

1,184783

4,625831513

3,8172,9653,0641,6903,6071,9672,4252,3062,4322,7602,9842,0692,3112,7462,7712,4372,1361,9507,4982,9531,857

15,2345,1425,5823,4236,4454,7265,3395,4175,2545,6325,9325,8534,9095,0604,9135,1965,1355,537

20,8266,2634,414

91108194957367636668567754599252608379

10510828

1674829368871858277

10177

108835594876270

19858

158

54,983 22,504 58,745 136,232 3,075 1,834

16748293688718582771017710883559487627019858158

Tehsil Total:

Tehs

il Li

aqat

Pur

178/7-rAhmad Ali LarAllah AbadAminabadChak No 010/absChak No 042/absChak No 046/absChak No 068/absChanjniDashtiDufli Kabir KhanGhukaGul Mohammad Langah UHayat LarJan PurJhok Gulab ShahKhan BelaLiaquatpur CityMohammad DahaNala MusaniPakka LaranShaidani SharifTrinda GurgaijTrinda Mohammad PanahZaffar Abad

1,7071,7443,6982,2262,2432,3362,1262,4323,1193,1711,6492,7491,6524,4144,0291,1053,3405,4794,5861,3033,3812,7374,7142,7612,516

1,4151,066640

1,142966

1,003457508504

1,0211,1151,339563258782804801

1,259586767

1,087975514961703

6,5493,2472,4863,6053,3854,4303,2763,4252,4453,6654,4132,6944,4842,1262,8614,2792,430821

2,6132,1052,8603,3122,7713,6832,407

9,6716,0576,8246,9736,5947,7695,8596,3656,0687,8577,1776,7826,6996,7987,6726,1886,5717,5597,7854,1757,3287,0247,9997,4055,626

28884451

148111679243488759

108854792409

57465237854846

34569

15513745708769

14116482

1156280

16367

16484013791

14119094

154122

71,217 21,236 80,372 172,825 4,659 3,784

3456915513745708769141164821156280163671648401379114119094154122

23

Adam SohabaAhmad Pur LammaBhongBhota WahanChak No 160/pChak No 173/pChak No 264/pDhandiDrigraGoth JangooJamal Din WaliKot Sanjar KhanMachkaMohammad PurMuhib ShahNawazabadRahimabadRanjhe KhanRasool PurRoshan BhaintSadiqabadSanjarpur

4,68313,5466,4954,9937,0156,0475,727

24,8306,3806,8756,7374,6777,5574,9555,6466,0017,2035,8935,867

18,84922,4096,214

6593

11042

10910316522072906273

2397673

103823690512346

7214659

119645935

1138976

109643265775888

16465

370974135

2,2327,0681,7241,9842,9222,7682,427

13,7922,3653,3521,7971,862824

2,1322,3942,5672,0713,0362,190

10,56412,0722,980

3891,762844450966398592

3,838995635533746

1,468691

1,089615

1,293804

1,2435,1293,599932

2,0624,7163,9272,5593,1272,8812,7087,2003,0202,8884,4072,0695,2652,1322,1632,8193,8392,0532,4343,1566,7382,302

7214659119645935113897610964326577588816465370974135

Tehs

il S

adiq

abad

Tehsil Total: 85,123 29,011 74,465 188,599 2,563 3,033

Abad PurAkram AbadAman GarhAmin GarhBadli SharifBahaudi Pur QureshianBahishtiBulaqi WaliChak No 105/pChak No 139/pChak No 228/pChak No 51/pChak No 84/pDari Azim KhanGalour Massu KhanHaji PurKot Mehndi ShahMau MubarikMianwali QureshianMianwali SheikhanMurtaza AbadRahim Yar KhanRajanpurShah PurSherinSonakThul Khair Mohammad KTibbi Gul MohammadWah Kohna

4,9486,9435,068

15,6884,7116,8595,0194,9355,6724,8325,8634,1677,1594,1965,995

14,9746,2413,8606,1306,0994,238

48,1526,2835,8285,8835,1525,5639,1465,398

5947416342766675476022995117696071657083516510872859369754762

84148124249112907666121812644616110021196557412065446876963757419587

1,2533,3433,2549,6421,9442,4281,9151,0792,4042,3911,1841,7713,0501,6242,7146,8063,0711,1853,4963,4831,584

29,8713,3032,1371,6583,0071,1065,9771,843

851775329

2,904371872318

1,542310244

1,025348

1,171456442

1,211756891465285257

8,672528486590339953826

1,069

2,8442,8251,4853,1422,3963,5592,7862,3142,9582,1973,6542,0482,9382,1162,8396,9572,4141,7842,1692,3312,3979,6092,4523,2053,6351,8063,5042,3432,486

84148124249112907666121812644616110021196557412065446876963757419587

Tehs

il R

ahim

Yar

Kha

n

District Total: 319,846 102,037 300,775 722,658 12,937 115

Tehsil Total: 108,523 29,286 87,193 225,002 2,640 3,160

24

BUILDING DENSITY (2015) MAP

26

Rahim Yar Khan District has a total metalled road-length of 4023.69 Kilometers. The district is linked with Bahawalpur, Sakkhar and Muzaffar-garh districts through metalled road. The Transportation Network Map of the district identifies all the essential road links including trunk, primary, secondary, tertiary and residential roads.

Besides roads, the district has also a fully functioning railway network. The main Peshawar-Karachi railway line passes through the District. The district is linked with Bahawalpur and Sakkhar through railway network. The total length of railway network in the district is 167km. There is only one landing strip in the district located at Khanpur. The nearest interna-tional airport is Sheikh Zaid Intl Airport.

10 TRANSPORTATION NETWORK

561,132Total:

Motor Vehicles 'Registered'

123123

123123

Road Length (km)by Type as on 30th June, 2014

(Len

gth

in k

m)

0

500

1000

1500

2000

2500Ra

ilway

Lin

e

167

s

640.43

570.75

2081.53

146.83

202.31

381.84

Dist

rict C

ounc

il Roa

ds

R &

B S

ecto

r

Farm

to M

arke

t Roa

dsNa

tiona

l Hig

hway

Prov

incia

l Hig

hway

s

Suga

r Ces

s Ro

ads

Taxi’sAutoRickshaws

TrucksMini Buses/ Buses /

Flying LuxuryCoachesCouches

MotorCycles

& Scooters

Pickups/ Delivery

Vans

Motor Cars,Jeeps &

Station WagonsTractors

143 242271,161 497,4494,20115,967 41,467

Others

493

15,967

497,449

414,67227

1,161143

24

4,201

493

Motor Cars, Jeeps & Station

Wagons

Motor Cycles & Scooters Trucks

Trucks

Pickups/Delivery Vans

Mini Buses/Buses/Flying Luxury Coaches

Couches

Taxi’s

Auto Rickshaws

Trackors

Khanpur

5Sadiqabad

7

RahimYar Khan

4

Liaqatpur

4

253 km

Rahim Yar Khan

SheikhZaid IntlAirport

5 km

Nearest Major Airportsfrom Rahimyar Khan City

Number of Railway Stations

Dera Ghazi KhanInternational

Airport

Others

27


SadiqabadSadiqabad


KhanpurKhanpur


TRANSPORTATION NETWORK MAP

28

Communication System; particularly telecommunication services, plays a role of significant importance in connecting distant people either through wired or wireless voice services. These telecommunication technologies have been changed immensely in the last twenty years. Before the emergence of cellular systems, the communication system of District Multan was primarily based on telephone services, known as Public Service Telephone Systems (PSTNS). However, with worldwide expansion/growth and recognition of wireless communication systems, cellular systems have also been deployed in the district.

There are 61 telephone exchanges operating in the district, ranging in capacities from 200 lines to 20150 lines. Cellular phone services are available in the district.

The Cellular Service Providers in the districts include Mobilink, Telenor, Ufone, Warid and Zong. The map on right, identifies total number of telecommunication towers distributed over the different parts of the district.

11 TELECOMMUNICATION

Total: 1,471

150

0 30 60 90 120

2004

2005

2006

2007

2008

2009

2010

2011

2012

2013

2014

2015

2016

Cellular Subscribersin Pakistan

133,241,465

114,658,434

139,974,754

127,737,286

120,151,235

108,894,518

99,185,844

94,342,030

88,019,812

63,159,857

34,506,557

12,771,203

5,022,908

0

10

20

30

40

50

60

70

80

90

2002

-03

2003

-04

2004

-05

2005

-06

2006

-07

2007

-08

2008

-09

2009

-10

2010

-11

2011

-12

2012

-13

2013

-14

2014

-15

2015

-16

Teledensity in Pakistan

(Per

cent

age

%)

4.31 6.

2511

.89

26.2

644

.06

58.9 62 64

.168

.4 7274

.9 79.8

962

.970

.81

(Yea

r)

(in Millions)

Internet Subscribersin Pakistan

0

1

2

3

User

s (M

illio

ns)

32

33

2006 2007 2008 2009 2010 2011 2012 2013 2014 2015 2016

TotalDSL HFC WiMax FTTH EvDO Others Mobile BB

Telecommunication Technologies

Khanpur Liaquatpur SadiqabadRahim Yar Khan

264

548

330 329

Tehsil Wise Distribution of CellularCommunication Towers

Mobilink Telenor Ufone Warid Zong

Network Wise Distributionof Cellular Towers

(in Rahimyar Khan District)

229

405

111201

525

29


SadiqabadSadiqabad


KhanpurKhanpur


COMMUNICATION TOWER MAP

30

Health Facility Type

Tehsil Headquarters (THQs)

HOSP

THOS

MS/AMS/Deputy MS

4

1

5

PMO/APMO/CMO/SMO/MO

53

3

267

PWMO/APWMO/SWMO/W

MO

29

2

20

Specialists(Eye/ENT/

Chest/Child/Surgical/Medical)

14

0

18

Surgeons(Cardio/Neuro/

Ortho/Gyne/Dental)

12

0

9

Non SurgicalStaff

(Anesthetist/Pathologist/Radiologist/

Physiotherapists

Assistants(Lab/

Medical/X-Ray/Dental/

ECG Techs)

Nurse(Head/Staff

Nurse/Matron)

LHVS/LHWS/

Midwives/EPI

Vacciant ors/

LHWs

Health/Medical Tech/

DispensersOther

13

0

12

15

0

88

65

11

341

7

32

41

25

4

47

0

28

44

12 PUBLIC HEALTHCARE FACILITIES

36%

5% 0% 4%

50%

3% 2% 0%

23%

3% 0%9 %

60%

2% 2% 1%0%

10%

20%

30%

40%

50%

60%

70%

Child Delivery by Typeof Assistance

(Person that Assisted with Delivery)URBAN RURAL

(Per

cent

ages

of C

ases

)

Fam

ily M

embe

r/N

eigh

bour

LHV

Trad

ition

al B

irth

Atte

ndan

t

Othe

rs

Children12-23Months

That have been immunized by type ofantigen- based on record and recall

94%

92%

87%

87%

92%

87%

87%

78%

URBA

N

84%

85%

85%

82%

91%

91%

88%

78%

RURA

L

BCG

DPT

1

DPT

2

DPT

3

POLI

O 1

POLI

O 2

POLI

O 3

MEA

SLES

Under-five Mortality Rate

127per 1,000

Births Infan

t Mor

tality Rate

98per 1,000Births

Birth

Registration

48%

Child Mortality Statistics

Tehsil Wise Bedding Capacity in Healthcare FacilitiesKhanpur Liaquatpur

Rahim Yar Khan

504

105

168

1 1

146

2 1

10

13

415

31

2Sadiqabad

Statistics of Diseasein Children

1.4%

Oral RehydrationTherapy (ORT)through ORS orrecommendedhomemade fluidsor increased fluids

Knowledge oftwo anger signsof Pneumonia

Use of Solidfuels for Cooking

20%77%

77%

26% 17%12%Prevalenceof Diarrhea

Oral rehydrationtherapy (OST) withcontinued feeding

Care seeking forsuspectedpneumonia

Antenatal Care (4 or more visits)

Skilled Attendant at Delivery

29%

62%

18%21%44%

39%

14%

35%

1.5% 39%

Reproductive Health(HIV /AIDSStatistics)

Use of Contraceptives

Percent Delivered by C-Section

Percentage with Comprehensive KnowledgeAntenatal Care

ANC (Blood Pressure Measured, Urine)

Institutional Deliveries

Post-Natal Care

Express Accepting Attitudes Towards People

The provision of easily accessible, affordable and quality Health care facilities is among the basic amenities of life that must be provided to the people for their wellbeing and health safety. Health facilities include

hospitals, clinics, maternal & birth centers, dispensaries and other forms of health care centres. In district Rahimyar Khan, for 8,443 population there is one certified doctor available in public healthcare facilities.

Secondary Healthcare Sanctioned Staff

Primary Healthcare Sanctioned Staff

HealthFacility

Type

MedicalOfficers

& Surgeons

LHVs / LHWs /

Midwives /Vaccinators

Assistants(Medical/

Xray/Lab/

Dental)

MedicalTech/

DispenserOthers

Nurse(Head/Staff/

Charge)

Basic HealthUnit (BHU)

TBC

Maternal & ChildHealth (MCH)

Rural HealthCentre (RHC)

105

76

0

2

0

108

0

0

6

52

0

4

1,614

487

6

3

197

98

0

2

193

210

12

4

Child Delivery by Location

URBAN RURAL

19% 21%

2%

71%

11%18%

1%

Home

Govt.Hospital

/RHC/BHU

PrivateHospital/

Clinic

Others

Percentages of Cases

Rural Health Centre

104

71932

11

Health Facilities by Type

Basic Health Unit

Maternal and Child Health Centre

Tehsil Head Quarter

TB Clinic

Hospitals

Training Hospitals

57%

BHU DHQ UD MCH RHC THQ RD THOS OTHER

31


SadiqabadSadiqabad


KhanpurKhanpur


HEALTH FACILITIES

32

31

Tehsils

Khanpur

Liaquatpur

Rahim Yar Khan

Sadiqabad

Total:

Kacha SemiPacca Pacca Total

Private Education Facilities

Tehsil Wise Govt. Schoolby Building Type

Primary School Middle SchoolHigh School

121

401

510Total: 1,032

351 364

493

304307

431485

369

Female Male

Tehsil Wise Govt. Schoolby Gender

Tehsil Wise Govt. Schoolby Type

High SchoolsMiddle SchoolsMosque School

Primary SchoolsHigher Secondary Schools



527 76

345

80

8

79144

687

247

81

482

600502

4867 60 61

Male Female

Total Enrollment by GenderSadiqabad2,881 Khanpur

2,537

RahimYar Khan

5,206

Total: 13,732

3,108 Liaquatpur

Number of Teachers

3,236EducationFacilities 10 2

Schools

13 PUBLIC EDUCATION FACILITIES

Literacy Ratio 2015-2016

Rural Urban57%27%

Total: **%

Student to Teacher Ratio

Total SchoolBuildings

Khanpur

613Liaquatpur

756

946Sadiqabad

651

RahimYar Khan

Colleges Universities

Tehsil Wise Facilities in Schools

Facility Available

Drink

ing Water Facility98%

Electricity

81%

Boundary Wall

97%

Toilets

97%

Khanpur

Liaquatpur

Rahim Yar Khan

Sadiqabad

42,617 44,374 Total: 88,991

Total: 108,021

Total: 171,949

Total: 105,730

96,306 75,643

62,089 45,932

63,031 42,699

Tehsil Wise BuildingConditions of Schools

26 20 36 39

484

192338 42

142

303 321254

157

51

327

46118

35

383

Khanpur Liaquatpur Rahim Yar Khan Sadiqabad

Dangerous

SatisfactoryPartial Dangerous

Need Minor RepairsNeed major Repairs

3734

3335

20

25

27

19

91

1

7

6

6

20

592

724

913

626

2,855

613

756

946

651

2,966

33

KhanpurSadiqabad

Rahim Yar Khan

Liaqa

tpur


SadiqabadSadiqabad


KhanpurKhanpur


EDUCATION FACILITIES MAP

34

Irrigation System plays a role of great importance in the increase of crop yield. The fact remains that the processes involved in irrigation control moisture in the soil for the growth of seeds and better crop production. Rahim Yar Khan District can be divided into three main parts. These are the riverain area, the canal irrigated area and the Cholistan area. The riverain area of the district lies close to the river Indus and Panjnad. To the South West of this area lies the canal irrigated area. The land in this area

is higher than that of the riverain area. The approximate height of this area is 150 to 200 meters above sea level. The desert area lies in the South-East of the district. It is called as the Cholistan. It extends into Bahawalpur and Bahawalnagar districts, occupying the South-Eastern part of the two districts. The surface of the desert consists of a succes-sion of sand dunes rising in places to a height of about 150 meters and covered with the vegetation peculiar to sandy tracts.

)

14 IRRIGATION INFRASTRUCTURE

Area Sown(Thousand Hectares)

Note: Excludes 485,000 hectares under orchards & 17,000hectares under Tobacco, sown under “Zaid Rabi” Crop.

Tube Wells

21Canals Wells

2

Canals

525Wells

5

1Canals Tube Wells

329Others

1

Total Area888

Unirrigated

5Irrigated

883Canal System

Name Length (km)Major Canals

Dera GabolanDallas WahRahimyar Khan BranchSem NullahAbbasia CanalSadiq Branch PanjnandMinchin BranchPanjnad Main CanalDallas BranchUnknownMubarak WahFazil WahTarkari Wah

6.613.529.844.890.565.530.839.7

6.99.18.46.64.6

Minor CanalsTher Sub Minor1L MinorMahran MinorRisar MinorFarid MinorZarin MinorPattan Munara MinorNaushahra MinorLakhi MinorChanorami MinorSinawar MinorMalu MinorBindor 2 R MinorKandera MinorKhammari MinorLundi MinorShah pur MinorLonda MJinorShabral MinorDarggahi MinorLaghari MinorNurpur MinorMubarak MinorGhazi MinorMakharia MinorNazir MinorKhan MinorMuhammad MinorDaulat MinorGarhi MinorSina wah Minor

5.019.4

9.413.716.0

0.817.5

8.35.09.4

14.910.313.822.4

9.14.84.24.8

11.35.17.7

14.111.8

5.08.03.9

15.615.1

9.15.78.1

Area Sown by DifferentIrrigation Techniques

CanalsTubewellsCanal TubewellsOthers

WellsCanal-Wells

(Thousand Hectares)

Total:

Tube Wells Installed by EnergySource (2013-14)

47,761Diesel43,878Electric

3,862

5252

1

21

40

5

Name Length (km)Minor Canals

Mahar MinorLamma MinorWalana MinorAbad MinorAdam Wali MinorRahmat MinorMakhun Wah MinorDuphli MinorSamulla MinorMithu MinorGana Kala MinorKawanal MinorThal PostiPakka Laian MinorGabbar MinorShuf MinorShatast MinorShergarh MinorTarukari MinorShams MinorMitla Minor

3.76.08.76.68.07.58.6

10.42.75.06.18.9

12.45.64.17.75.4

12.39.47.9

16.4

Name Length (km)Minor Canals

Sharit MinorGulzar MinorRinda MinorRahat MinorDegi MinorForest MinorKasmani MinorRanino Sub MinorKikari MinorManthar Main DrainR DrainKabira MinorMincnin BranchWalhar BranchGurges Sub MinorIL Minor (Disused)Unran MinorMaluk MinorBhutta Minor

20.96.74.56.9

17.94.6

25.411.9

9.44.27.60.16.0

19.04.99.88.5

14.59.4

35

)

Name Length (km)Distributaries

IR Khabbanwala Disty2R (Khabbarwali)2 L (Thakowali) Disty1L Saluwah DistyFarhat DistyGrey DistributaryLamma DistyTalla DistyBhong Disty1L DistyRakn DistributaryL Disty3 R Disty7 R Bakharlit Disty5 R Disty

16.418.319.8

7.911.335.745.810.848.510.220.1

3.79.6

27.77.9

Indus RiverMinchin NalaBauli NalaSem NalaUnknown

16.45.4

10.185.055.4

Others

Name Length (km)Distributaries

Adam Sahaba Disty4R Ghulam DistributaryAb-i-Hayat DistributarySultanpur DistributaryAminghar DistyRahim DistributoryHamid DistributaryHaji DistributaryChamarr DistyChachaian DistributaryRaj Disty5 L Dina Disty4 L Ikhtiar DistyUpper Nawankot DistySrasan DistributaryLinkUpper Amir Din DistyIL DistySangla DistributaryBihari DistributarySardar WahMughla DistyThul Hamza DistributaryKhan Belan Disty2 R Distributary6R Distributary

14.439.954.3

4.17.1

14.612.916.016.416.312.410.721.140.814.012.552.336.812.614.733.2

9.95.09.9

16.925.3

Name Length (m)Embankments

Minchin Flood Bund DallasIII Defence Bund DallasRanwati BundII Defence Bund RYKChachran Link Bund RYKII Defence Bund (Mud Adil)U / S Marginal BundMachka BundK K BundDilwaro BundFakher Flood BundMinchin Flood Bund KhanpurIV Defence Bund DallasL M New Bund

2,481.21,646.94,136.71,530.94,985.43,590.1

16,896.64,092.47,849.11,024.42,174.5

71,632.04,954.2

430.2

SpursGuide Bank Spur III at RDMole Head Spur AT JSpur 1JHead Spur III A at RD 12Prong at JHead Spur II JHead Spur1 at RD 8000 Left J SpurJHead Spur II at RD 5000

542.9528.6638.9101.0

2,470.9167.4819.1

Khanpur Liaquatpur Rahim Yar Khan Sadiqabad

OrchardsCrop IrrigatedCrop Marginal and Irrigated SalineCrop in Flood PlainCrop Rainfed

Forest - Natural Trees and MangrovesNatural Vegetation in Wet AreasRange Lands - Natural Shrubs and HerbsBuilt-UpBare Areas

Bare Areas with SparseNatural VegetationWet AreasSnow and Glaciers

Tehsil Wise Land Use Classification

36


SadiqabadSadiqabad


KhanpurKhanpur


IRRIGATION MAP

38

221

13,211EstimatedEmployment

Number of Factories

Number of RegisteredFactories & Employment Level(As on 30th June 2014)

15 MAJOR INDUSTRIESThe main industries of the district are textile, cotton ginning and pressing, sugar, cottonseed oil, edible oil, soap, beverage making, agricultural implements manufacturing and fertilizer, manufacturing. Cottage indus-try includes ginning, pottery/clay products, electric desert cooler, agricul-tural machinery, handicrafts, food industry, and embroidery. Unilever, the international manufacturers of some famous brands of the world like Sunsilk shampoos, Walls ice cream, Lux, soaps etc. has one of their major factories of Pakistan in Rahim Yar khan. In view of the existing indus-tries, there exists good potential for sizing plant, good quality pack-

ing boxes, paper and paper board, high density polypropylene woven bags, paper cones and bobbins, tins for vegetable ghee / cooking oil pack-ing, hosiery, towels, etc.

There are no major minerals being mined in Rahim Yar Khan. Only lake salt is being recovered under the process of solar evaporation from various salt lakes in District Rahim Yar Khan and this is mainly used in tanneries and for refrigeration purposes

Beverage

Chemical

Cold Storage

Cotton Ginning & Pressing

Dairy Products

Drugs & Pharmaceuticals

Fertilizer

Flour Mills

Fruit Juices

G.I./M.S. Pipes

Ice Cream

Industrial / Burn Gases

Paper & Paper Board

Poultry Feed

Rice Mills

Seed Processing

Solvent Oil Extraction

Sugar

Textile Spinning

Textile Weaving

Vegetable Ghee & Cooking Oil

Woollen Textile Spinning / Weaving

90,000 Crates / Day

108 M.Tons

3,850 Bags

959 Sawgins, 206 Press, 39 Expellers

10,000 Th. Litres

390,000 Th. No. Tables, 1,200 Th. Litres Syrups,

1,200 Th. No. Injections 0.272 Th. Litres Galenicals

1,330,000 M.Tons

6,960 M.Tons /Day

2,860 Bottles

60,000 M.Tons

1,100 Litres

21,000 Cubic Meters

800 M.Tons

172,200 M.Tons

10 Hullers, 1 Sheller

21,900 M.Tons

30,000 M.Tons

56,000 Tcd

28,800 Spindles

1,268 Looms

92,000 M.Tons

414 Spindles

Industry No. of units Installed Capacity

2

1

4

206

2

1

1

41

1

1

1

1

1

5

5

4

1

3

2

15

2

1

39


SadiqabadSadiqabad


KhanpurKhanpur


INDUSTRIES MAP

40

Veterinary Healthcare Facilities (2013-14)

Number

Broiler Farms

583

17,250

27

350

10

110

Layer Farms Breeding Farms

Capacity to Rear Birds per Annum (Thousand)

Established Private Poultry Farms (2013-14)

92

27

35Veterinary Hospitals

Veterinary Dispensaries

Veterinary Centers

Number of Domestic Animals (2006)(Thousand)

41

16 LIVESTOCK

520

820

Sheep Goats

137

1,48

8

Number of Work Animals by Type (2006)(Number)

Bullocks Cows Buffaloes Camels Horse Asses Mules

4,57

3

32 1,33

7

1,71

8 3,03

1

43,2

15

1,00

0

Animals Slaughtered in Recognized &Unrecognized Slaughter Houses by Type

(2013-14)(In Hundred)

CattleBuffaloesSheepGoatsOthers

450

251

212

122

030

7,43

3

2 2,45

8

Area Sown Under Major Crops(Thousand Hectares)

132 22

206Rice Sugarcane

Cotton

Total Area Sown(Thousand Hectares)

4

289

Unirrigated Irrigated

Total: 293

11,338Total:

3,388

8,86510,684

20136 999

1,0031,112

Tractors by Make (2012-13) Threshers & Harvesters (2012-13)

The local economy the district Rahim Yar Khan is mainly driven by agricul-ture sector with a good yield of different cash crops along with production of fruits. The main crops grown in district Rahim Yar Khan are wheat,

cotton and sugarcane whereas mangoes and citrus are main fruits produced in this region.

17 AGRICULTURE

9,923Total:

Cutter Binders

Self Propelled CombineHarvesters

Threshers

Tractor Drawn CombineHarvestersTractor Mounted Reapers /Narvesters

Sa

les of Fertilizer (2013-2014)

179Nutrient

Tons.

International

Fiat (640)Belarus

Fiat (480)Belarus Ford (4000/4600)

Massey FergusonBelarus Ford (3000/3600)

Cotton

910Bales

Rice

42 Tons

Wheat

989Tons

Sugarcane

9,826Tons

Major Crop Production(2013-14)

42

RABI CROP MAP (JUNE TO FEB)

43

KHARIF CROP MAP (AUG TO SEP)

44

18 RESCUE 1122

RoadAccidents

38,820

Drowning

330

Fire

1,838

Blast

30

Building Collapse

158

Fake Calls

54

PatientRescued

164,419

CrimeIncidents

2,814

Medical

64,852

Misc.

9,033

Emergency Calls

Total CallReceived

6,095,007

Fire Vehicle 2

Rescue Vehicle 4

Water R.Van 0

Water Bowser 1

Recovery Vehicle 1

Aerial Platform 0

Ambulance 13

Ground DutyVehicles (GDV) 1

Ladder 0

Truck 05 Ton 0

Foam Vehicle 0

Boat Carrier Truck 1

NHAB

Boat 17

On BoardMotors ( Obm) 12

Life Jacket 66

Scuba 0

Torch 0

Life Guard 22

Life Ring 15

Tents 1

Plastic Mat 0

Oars 60

Mosquito Net 0

Dry Suit 3

Nylon Rope 12 Carpet 0

Central Station, Near Allama Iqbal Library, WAPDA ColonyRoad, R.Y. Khan

Longitude : 70.31 Latitude : 28.42

Address

Hum

an

Resource

128Persons

Rescue Equipment

Flood Resources

(by Type)

45

19 CLIMATOLOGY

20January

26February

20 March

15 April15 May16June28

July

33August

33September

24October13

November 20December

Relative Humidity (%)Rahim Yar Khan (RYK) district has an arid climate characterized by high temperature (up to 48°C), low rainfall, irregular humidity and, generally high evaporation rates. The maximum temperature touch-es 48°C. The minimum temperature recorded is 4.9°C. June is gen-erally the hottest month while coldest month is January. The average annual rainfall in the district is 165 mm of which 60% occurs in the monsoon period of July and August.

Average Wind Speed (km/hr)

Average Maximum Recorded

Wind Speed (km/hr)

January

0 10 40 60 80 100

FebruaryMarch

AprilMayJuneJuly

AugustSeptember

OctoberNovemberDecember 74

4

0

5

7

6

5

6

7

8

8

6

7

9

9

13

11

12

13

14

11

12

10

Monthly Average Temperature (°C)

Avg. Temperature (°C) Max Temperature (°C)Min Temperature (°C)

25

31

37

42 4341

39 3836

30

2522

17

23

29

34 36 35 33 32

27

21

1613

8

14

20

2529 29 27

25

18

11

85

Tem

pera

ture

(°C)

0

5

10

15

20

25

30

35

40

45

Janu

ary

Febr

uary

Mar

ch

April

May

June July

Augu

st

Sept

embe

r

Octo

ber

Novm

ber

Dece

mbe

r

Average Precipitation (mm)

5January 5February 7March

5April 7May 5June

26July 27August 9September

1October 1November 3December

Average Rain Day (per month)

(Rai

ny D

ays)

Janu

ary

Febr

uary

Mar

chAp

rilM

ayJu

ne July

Augu

stSe

ptem

ber

Octo

ber

Novm

ber

Dece

mbe

r

14 4

3

5

0

5

10

15

4

12

14

9

1 1 2

46

44

HAZARD ASSESSMENTDROUGHTEARTHQUAKEFLOOD

B

DROUGHT PRONE UNION COUNCILS

51

FREQUENTLY DROUGHT PRONE UNION COUNCILS

52

EARTHQUAKE HAZARD ASSESSMENT21

Earthquake is defined as shaking and vibration at the surface of the earth resulting from underground movement along a fault plan from volcanic activity, cryoseismic activity, the sudden cracking of frozen soil or rock or due to movement of plate boundaries of the Earth. Earthquakes hazard at a site is characterized by either probabilistic or deterministic seismic hazard analysis. Probabilistic seismic hazard analysis involves the quantification of rate of probability of exceedance taking into consideration all possible earthquakes. Deterministic analysis evaluates the site specific seismic hazard that is influenced by maximum hazard from controlling sources. The general Probabilistic seismic hazard analysis procedure involves quantifying the annualized rate of exceedance of specified ground motions of various intensities, which is transformed to obtain the probability of exceedance of ground motions within the lifetime of the structure and infrastructure of interests. District Rahim Yar Khan has a fault line, the Rahim Yar Khan Fault passing through the Sadiqabad tehsil. According to the historical catalogues used in this assessment, this district has experienced earthquakes in the range of magnitude 4-6. The main findings of the probabilistic seismic hazard assessment were that the ground motions in District Rahim Yar Khan show no significant spatial variability throughout the district when ground motions are mapped for tehsil and UC levels. The following table shows the PGA based values against each settlement type in District Rahim Yar Khan. Some of the most important historical seismic events in the region are shown below.

The first step was the definition of area of interest followed by the compilation of Earthquake Catalogue from different national and international sources. The catalogues were homogenized, declustered and checked for completeness. Ground Motion Prediction Equations (GMPEs) were selected and the data was processed in a hazard computation software (CRISIS). The output of the

Zone 1 (Very Low)Zone 2A (Low)Zone 2B (Medium)Zone 3 (High)Zone 4 (Very High)

Khan Pur Liaquat Pur Rahim Yar Khan Sadiqabad

3,068

4,652

2,629 2,462

5000

4000

3000

2000

1000

0

(Are

a in

sq.

km)

P u n j nadP u n j nad

R i v erR i v er

I n d usI n d us

R i v erR i v er

3,048

24

1,9302,723 2,626

0

2,466

0

5000

4000

3000

2000

1000

0Khan Pur Liaquat Pur Rahim Yar Khan Sadiqabad

(Are

a in

sq.

km)

100 Years Return Period50 Years Return Period


3,068

4,652

2,629 2,462

5000

4000

3000

2000

1000

0

(Are

a in

sq.

km)


3,068

4,652

2,629 2,462

5000

4000

3000

2000

1000

0

(Are

a in

sq.

km)

475 Years Return Period250 Years Return Period


3,073

4,651

2,624 2,462

5000

4000

3000

2000

1000

0

(Are

a in

sq.

km)

2500 Years Return PeriodHazard Zones (g)*

Seismic Hazard Maps Based on Return Periods (50,100,250,475 and 2500 Years)

Historical Seismic Events

Intensity Ground Motion (g) PGA (g*)0.01 – 0.080.08 – 0.160.16 – 0.240.24 – 0.32> 0.32

Very LowLowMediumHighVery High

Zone12A2B34

0.080.150.200.300.40

*Where g is acceleration due to gravity

For the purpose of seismic designs of buildings, Pakistan has been divided into 5 Zones. These Zones are based on Peak Ground Acceleration (PGA). Ranges are shown in Table below:

Methodology of Assessment

exercise was the probabilistic seismic hazard mapping on 50, 100, 250, 475 and 2500 years return periods. The next stage was Sensitivity Analysis of tools used in the study. The last step was Seismic Response Analysis of site soil using strong ground motions records using Deepsoil software. The final phase of assessment was the incorporation of site soil conditions for seismic microzonation to map site specific ground motions.

53

Description:Where return period is the recurrence interval of a flood. It is a statistical measurement particularly based on previous data.

EARTHQUAKE HAZARD 50 YEAR RETURN PERIOD

54

EARTHQUAKE HAZARD 475 YEAR RETURN PERIOD

55

Early Warning & Response Time for Riverine Floods (in Hours)Flood Intensity

Sutlej

Sutlej

Indus

Indus

Reach From

Suleimanki H/W

Islam H/W

Taunsa

Chachran

Reach To

Islam H/W

Panjnad H/W

Chachran

Guddu

Total Response time

72

84

48

36

Flood Protection Structures

Bunds

RiverTrainingWorks

Shikrani flood bundMinchin flood bundExtension Minchin BundMachka Dilawaraflood BundRetired Minchin Bund4th Defence Bund

Right Bank of Unran DistyMalkani Escape Both SideRetired Minchin FloodBund along Chachran Disty2nd Defence BundChachran Link BundLoop Bund

J-Head Spur No.1J-Head Spur No.3J-Head Spur No.2

J-Head Spur No.4J-Head SpurInverted Hockey Spur

Guide Wall Spur No.5J-Head Spur No.1-AStone Stud

Guide Head SpurStone Stud 1-9Concave Convex Guide Wall

Solid Stone Studs 14 No.Guide Wall Spur

FLOOD HAZARD ASSESSMENT22

District Rahim Yar Khan shares boundaries with district Muzaffargarh to its north, district Bahawalpur to its east, district Ghotki (Sindh) and Jasilmir (India) to its south and district Rajanpur to its west. River Indus flows at the western borders of the district downstream towards province Sindh. The

Assessment MethodologyThe HEC-RAS hydraulic model has been used for hydraulic modelling of the area, with an average discharge value observed at head Punjnad for consecutive 10, 50 and 100 years. For model inputs, geometric data (stream centerline, flow paths, channel banks, cut lines and cross-sections) has been developed in HEC-GeoRAS. Aster-SRTM DEM has been preprocessed and used for conversion into TIN, to be used as the elevation input in modelling for generation of flood hazard maps.

Return PeriodReturn Periods Discharge (in Cusecs)

10 Years50 Years

100 Years

15,977737,406

1,474,846

Modelling results are then processed in ArcGIS for floodplain delineation. Flood hazard maps are then generated as the final result using inundation depth grid and satellite imagery. These maps show the severity of flood hazard at any given point in the area.

area close to the river is the riverine area while rest of the district is divided into canal irrigated area and the Cholistan desert. As part of flood mitigation, following flood protection structures have been put in place:

Flood Protection Structures Maps

57

:

Tehsilwise Distribution of Settlements Vulnerable to Floods Basedon Inundation Frequency (2010-2015)

Less Vulnerable Moderatly Vulnerable Highly Vulnerable Very Highly Vulnerable

3 2

14 12

30

19

39

31

17

84

6

29 30

4 4

60

50

40

30

20

10

No. o

f Set

tlem

ents

Khanpur

Liaquatpur

Rahim Yar

Khan

Sadiqabad

Flood Loses 2010

Houses Damaged

Area Affected

Population Affected

Population Displaced

School Buildings Affected

Health Facilities Affected

Roads Damaged

Cattlehead Displaced

22,000

400,000 Acres

1,000,000 (70% women and children)

250,000

113

5

240 km

900,000

Historical Floods

Peak Discharge River Indus

Year

1958

1976

1992

1995

2010

2013

Discharge (Cs)

788,650

675,233

654,579

617,096

959,991

425,210

Year

1986

1988

1989

1992

2010

2013

Discharge (Cs)

1,173,292

1,162,653

944,888

1,086,919

1,148,738

-

Taunsa Barrage Taunsa Barrage

Peak Discharge River Chenab Peak Discharge River Sutlej

Year

1973

1976

1983

1992

2010

2013

Discharge (Cs)

802,516

710,000

826,774

812,152

310,117

317,261

Year

1955

1988

1992

1995

2010

2013

Discharge (Cs)

4,925,581

306,425

183,902

160,421

22,798

70,932

Panjnad Headworks Islam Headworks

Discharge Values for Return Period 10,50,100 Years

2,500,000

2,000,000

1,500,000

1,000,000

500,000

0

Disc

harg

e (C

usec

s)

10 Year

50 Year

100 Year

Return Period

15,977

737,406

1,474,742

Flood Limits Punjnab Headwork (Chenab)

1,000,000

800,000

600,000

400,000

200,000

0

Disc

harg

e (C

usec

s)

Low

MediumHigh

Very High

Exceptio

nally

High

150,000

200,000300,000

700,000 Cusecs450,000

600,000

Designed Capacity Flood Level

Flood Limits Taunsa Headwork (Chenab)

1,200,000

1,000,000

800,000

600,000

400,000

200,000

0

Disc

harg

e (C

usec

s)

Low

MediumHigh

Very High

Exceptio

nally

High

250,000375,000

500,000

1,000,000 Cusecs

650,000

800,000


Flood Limits Guddu Headwork (Jhelum)

1,200,000

1,000,000

800,000

600,000

400,000

200,000

0

Disc

harg

e (C

usec

s)

Low

MediumHigh

Very High

Exceptio

nally

High

200,000

350,000500,000

1,200,000 Cusecs

700,000

900,000


Flood Limits for River Chenab (Punjnad Head) andRiver Indus (Taunsa & Guddu Barrage)

In this study for flood hazard assessment, return periods of 10, 50 and 100 years have been taken in account based on probability of occurrence for the flood modelling. Discharge values for the respective return periods have been considered at Punjnad headworks.

58

FLOOD HAZARD 10 YEAR RETURN PERIOD

59


60


61

58

EXPOSURE ASSESSMENTC DROUGHTEARTHQUAKEFLOOD

ELEMENTS EXPOSED TO DROUGHT HAZARD23

AZIM SHAHBAGHO BAHARCHACHRAN SHARIFCHAK NO 045/PCHAK NO 51/P_1CHANDIADESSERTDINPUR SHARIFGARHI IKHTIAR KHANGHANA LARGHAZI PURJAJJA ABBASSIANJETHA BHUTTAJHORANKOTLA PATHANLATKIMAD BAHORAMARI ALLAH BACHAYAMUEENABADNAWAN KOTNEEL GARHQADIR PURSEHJAUNKNOWN

178/7-RAHMAD ALI LARALLAH ABADAMINABADCHAK NO 010/ABSCHAK NO 042/ABSCHAK NO 046/ABSCHAK NO 068/ABSCHANJNIDASHTIDESSERTDUFLI KABIR KHANGHUKAGUL MOHAMMAD LANGAH UHAYAT LARJAN PURJHOK GULAB SHAHKHAN BELALIAQUAT PUR CITYMOHAMMAD DAHANALA MUSANIPAKKA LARANSHAIDANI SHARIFTRINDA GURGAIJTRINDA MOHAMMAD PANAHZAFFAR ABAD

ADAM SOHABAAHMAD PUR LAMMABHONGBHOTA WAHANCHAK NO 160/PCHAK NO 173/PCHAK NO 264/PDESSERTDHANDIDRIGRAGOTH JANGOOJAMAL DIN WALIKOT SANJAR KHANMACHKAMOHAMMAD PURMUHIB SHAHNAWAZABADRAHIMABADRANJHE KHANRASOOL PURROSHAN BHAINTSADIQABADSANJARPUR

UNIONCOUNCILS

KHAN

PUR

LIAQ

UATP

URSA

DIQA

BAD

POPULATION MALE FEMALE SETTLEMENTS

115,349

38,932

42,266

25,915

0

48,798

0

35,786

40,428

41,010

39,789

42,648

44,922

44,314

37,169

38,309

37,200

39,342

38,887

41,930

157,698

47,431

33,424

0

70,635

44,236

49,836

50,925

48,151

56,733

42,788

46,483

44,317

57,378

0

52,411

49,536

48,929

49,644

56,039

45,185

47,988

59,536

56,858

30,491

53,515

51,299

58,414

54,076

41,092

36,383

103,528

50,462

38,800

54,503

46,987

44,498

0

189,772

49,577

53,420

52,341

36,338

58,714

38,497

43,875

46,627

55,967

45,788

45,589

144,059

171,267

48,277

59,413

20,152

21,784

13,531

0

25,634

0

18,341

20,978

21,231

20,637

21,845

23,388

23,116

19,415

20,019

19,136

20,595

20,196

21,709

81,789

24,926

17,053

0

37,686

22,719

26,064

26,452

25,109

29,512

22,348

24,098

22,901

28,844

0

27,010

26,119

25,359

25,829

29,163

23,669

24,883

30,551

29,953

15,793

27,847

26,550

30,465

28,017

21,308

18,830

53,664

26,236

20,424

28,345

24,579

23,629

0

99,205

25,976

27,974

27,473

19,265

31,327

20,225

23,197

24,612

29,572

23,979

23,812

75,593

89,203

25,097

55,936

18,780

20,482

12,384

0

23,164

0

17,445

19,451

19,779

19,152

20,803

21,534

21,198

17,755

18,289

18,064

18,747

18,691

20,221

75,910

22,505

16,371

0

32,949

21,516

23,772

24,473

23,042

27,220

20,440

22,384

21,417

28,534

0

25,401

23,417

23,569

23,816

26,876

21,516

23,105

28,985

26,905

14,698

25,667

24,749

27,949

26,059

19,784

17,553

49,865

24,226

18,376

26,158

22,408

20,869

0

90,567

23,601

25,446

24,868

17,074

27,388

18,272

20,678

22,015

26,395

21,810

21,778

68,466

82,064

23,180

RICE SUGARCANE WHEAT

AGRICULTURE CROPS(AREA IN HA)

141

6

597

6

0

775

22

90

152

49

243

286

205

223

246

20

15

6

252

150

93

291

6

38

33

213

9

271

268

169

503

15

78

165

445

93

18

10

36

186

39

312

1

242

138

76

126

556

288

90

0

0

0

0

0

15

0

0

0

0

3

0

0

1,851

0

0

0

0

0

0

0

0

0

3,720

343

861

116

118

1,005

117

2,454

2,647

2,199

2,058

1,796

1,613

1,569

2,554

929

722

766

1,483

2,804

1,487

731

576

82

416

301

827

1,218

892

932

750

1,242

955

748

1,009

581

1,180

155

2,322

657

741

908

90

344

1,016

1,453

810

312

222

1,062

834

1,526

3,676

1,210

200

113

0

0

671

2,228

389

1,453

1,674

525

997

241

2,819

2,483

449

2,305

224

246

268

2,659

5,456

5,601

4,166

119

2,167

3,238

1,793

1,842

2,586

2,039

1,489

2,159

1,949

1,534

5,183

2,997

3,459

2,764

2,908

3,189

2,501

1,347

280

1,650

3,893

2,294

1,846

5,653

4,179

1,518

4,486

1,606

2,409

12,379

3,536

3,125

5,136

3,677

1,992

4,589

1,291

525

3,339

1,722

1,957

1,377

4,622

2,861

2,177

3,325

3,845

2,810

1,194

5,182

5,452

4,329

1,922

5,432

2,387

5,203

1,164

3,304

9,953

3,100

3,288

3,443

2,459

2,019

2,995

2,006

1,333

2,292

38

5

21

1

3

21

17

51

54

45

40

26

27

16

36

32

31

46

45

26

38

14

19

1

24

30

31

23

46

41

19

40

11

21

58

42

38

24

36

27

27

13

5

26

32

20

14

50

37

13

24

32

54

23

3

0

2

4

27

26

4

29

24

54

39

19

54

41

13

49

21

8

8

CROPIRRIGATED

CROP INFLOOD PLAIN

CROPRAINFED

LAND USE & LAND COVER TYPE(AREA IN HA)

8,723

7,633

4,814

6,209

453

6,942

8,923

5,967

6,083

6,340

6,565

5,429

6,720

5,114

5,616

7,880

5,011

5,750

7,534

7,706

8,289

3,061

2,633

658

2,704

2,754

4,156

4,801

10,717

8,696

5,291

8,623

3,838

4,395

30,420

3,555

5,747

7,800

8,293

4,382

4,144

3,908

895

5,228

4,321

5,075

3,430

7,381

4,596

4,378

5,828

8,178

6,981

3,774

7,936

7,712

8,424

4,226

15,169

6,615

7,864

3,196

6,544

3,565

6,672

5,659

7,970

6,647

3,434

8,069

3,807

2,097

4,144

0

0

7,493

0

0

0

0

0

0

0

0

0

0

0

0

0

0

0

0

0

0

2,771

0

0

49

4,146

0

0

0

0

0

0

0

62

0

3,090

0

806

0

0

3,275

0

0

0

0

0

0

0

0

0

0

0

2,573

0

0

0

0

0

0

0

0

1,396

0

10,713

0

0

0

0

0

0

0

0

0

0

0

42

0

0

0

0

0

0

0

0

0

0

0

0

0

0

0

0

0

0

0

0

0

0

0

0

0

0

0

0

0

0

0

0

0

0

14

0

0

0

0

0

0

0

0

0

0

0

0

0

0

0

0

0

0

0

0

0

0

0

0

0

0

0

0

0

0

0

0

0

0

0

CROPMARGINAL ORCHARDS

0

0

29

0

0

0

0

0

0

0

0

0

9

0

0

0

0

0

5

0

0

0

0

0

0

0

0

138

242

2

0

0

0

0

527

0

0

80

0

0

0

0

21

427

0

0

120

297

0

0

70

169

185

83

132

151

255

38

1,646

184

169

448

598

515

319

515

678

299

31

396

737

0

56

40

41

0

5

0

0

0

35

18

202

0

0

36

0

77

230

6

14

134

49

24

0

0

0

0

0

0

0

13

77

11

17

0

0

72

0

0

0

0

0

0

0

0

0

0

0

0

105

81

0

33

13

1,017

190

44

85

541

13

109

253

10

739

48

56

50

8

295

879

12

239

23

0

3

KHARIF CROP RABI CROPDROUGHT

PRONE

FREQUENTLYDROUGHT

PRONE

MO

EX

SE

EX

EX

MO

EX

MO

MI

MO

MO

MO

EX

SE

SE

MO

MO

MI

SE

SE

EX

MO

MO

MI

SE

MO

MO

MI

SE

MO

SE

MO

MO

MO

EX

MO

MO

MI

MO

MO

MI

MO

NO

MO

MO

SE

MO

MO

MO

MO

MO

EX

MO

MO

MO

MO

MO

EX

EX

MO

SE

MO

MO

SE

SE

SE

SE

MO

MO

MO

SE

SE

SE

MO

SE

SE

SE

MO

MO

SE

MO

MI

MO

MO

MO

SE

SE

SE

MO

MO

MI

SE

SE

SE

MO

MO

NO

SE

MO

MI

MI

MO

MO

SE

MO

MO

MO

SE

MI

MO

MI

MO

MO

MI

MO

NO

MO

MO

SE

MO

MO

MO

MO

MO

EX

MO

MO

MO

MO

MO

SE

EX

MO

MO

MI

MO

SE

SE

SE

SE

MO

MO

MO

MO

MI

SE

DEMOGRAPHICS

63

ABAD PURAKRAM ABADAMAN GARHAMIN GARHBADLI SHARIFBAHAUDI PUR QURESHIANBAHISHTIBULAQI WALICHAK NO 105/PCHAK NO 139/PCHAK NO 228/PCHAK NO 51/PCHAK NO 84/PDARI AZIM KHANDESSERTGALOUR MASSU KHANHAJI PURKOT MEHNDI SHAHMAU MUBARIKMIANWALI QURESHIANMIANWALI SHEIKHANMURTAZA ABADRAHIM YAR KHANRAJANPURSHAH PURSHERINSONAKTHUL KHAIR MOHAMMAD KTIBBI GUL MOHAMMADWAH KOHNA

UNIONCOUNCILS

RAHI

M Y

AR K

HAN

POPULATION MALE FEMALE SETTLEMENTS

19,437

28,641

19,902

60,233

18,814

27,570

19,821

19,440

22,385

18,887

23,409

16,551

28,229

16,470

0

23,557

57,831

24,814

15,124

24,009

24,001

16,883

186,056

25,399

23,139

23,772

19,921

22,105

34,955

21,365

2,838,074

18,098

24,019

18,536

56,254

16,922

24,456

18,238

17,991

20,638

17,765

21,066

15,053

26,064

15,364

0

21,908

53,358

22,517

14,149

22,491

22,257

15,259

171,492

22,259

21,066

20,854

19,157

20,083

32,955

19,579

2,607,809

RICE SUGARCANE WHEAT

AGRICULTURE CROPS(AREA IN HA)

1

0

0

0

0

2

7

0

0

0

2

28

4

3

0

212

357

0

0

9

81

0

0

0

34

25

7

30

7

0

10,966

1,140

1,575

219

451

1,484

1,911

245

2,290

242

383

280

511

510

578

0

1,256

423

1,964

1,285

1,679

1,769

2,354

560

2,247

2,274

2,205

1,668

1,024

1,230

819

113,002

2,126

1,570

1,904

2,809

1,212

2,372

2,376

2,485

2,642

2,757

7,606

4,934

7,612

4,314

446

2,068

2,120

2,074

3,354

2,394

1,730

1,581

5,139

2,232

2,740

2,732

2,920

3,089

1,960

3,130

312,122

23

16

0

9

16

41

8

40

0

1

6

6

2

17

1

37

33

22

46

52

40

23

19

32

38

30

40

25

29

1

2,612

CROPIRRIGATED

CROP INFLOOD PLAIN

CROPRAINFED

LAND USE & LAND COVER TYPE(AREA IN HA)

2,725

4,278

3,282

4,852

3,650

5,260

5,557

6,310

3,781

5,184

11,202

7,788

10,178

6,395

875

5,804

4,851

5,604

6,312

5,688

4,621

4,610

7,969

3,181

3,636

3,279

6,563

3,339

4,430

5,437

600,729

2,397

0

0

0

0

0

0

0

0

0

0

0

0

0

0

0

116

0

0

0

0

0

0

3,279

3,385

4,893

0

2,818

0

0

53,262

0

0

0

0

0

0

0

0

0

0

0

0

0

0

0

0

0

0

0

0

0

0

0

0

0

0

0

0

0

0

56

CROPMARGINAL ORCHARDS

145

24

0

45

211

279

0

36

44

61

9

0

0

0

0

0

0

157

78

583

13

0

61

64

27

90

12

0

0

100

11,609

485

223

43

76

135

1,729

36

875

30

28

38

177

160

26

0

0

0

284

344

1,427

233

1,691

112

406

912

254

44

189

30

125

16,060

37,534

52,660

38,439

116,487

35,737

52,026

38,059

37,432

43,023

36,652

44,475

31,604

54,293

31,834

0

45,465

111,189

47,331

29,273

46,501

46,258

32,142

357,548

47,658

44,205

44,625

39,078

42,188

67,910

40,943

5,445,880

KHARIF CROP RABI CROPDROUGHT

PRONE

FREQUENTLYDROUGHT

PRONE

MO

MO

SE

MO

MO

MO

MO

MO

MO

MO

SE

EX

SE

SE

EX

MO

MO

MO

MO

MO

MO

SE

MO

MO

MO

MO

SE

MO

MO

MO

MI

MO

MO

MO

MO

MI

MO

MO

MO

MO

SE

MO

SE

SE

SE

MI

MI

MO

MO

MO

MO

SE

MO

MO

MI

MO

SE

MO

MO

MO

DEMOGRAPHICS

PopulationSettlementsCrop IrrigatedCrop in Flood PlainCrop RainfedCrop Marginal OrchardsRice Sugarcane Wheat

ELEMENTS AT RISKDROUGHT PRONE FREQUENTLY DROUGHT PRONE

EX SE MO MI NO EX SE MO MI NO

592,371219

104,88000

2,389491805

7,51247,282

1,264,652548

138,57918,255

423,2852,7324,218

24,10082,089

3,304,5121,665

327,13830,926

05,696

12,8065,428

75,691165,074

224,809175

29,2374,081

1421832

5165,609

17,151

59,5365

89500

2101

90525

293,30059

23,34600

1,814123

02,1979,276

1,076,783620

184,10518,255

422,7112,8344,723

26,81598,944

3,175,1781,471

327,86720,542

05,9459,2065,018

68,181166,475

841,083456

63,85814,465

141,1183,8971,187

15,63736,622

59,5366

1,55300

210

38172805

Elements at Risk According to Drought Severity

LEGEND: NO NO DROUGHT MI MILD DROUGHT MO MODERATE DROUGHT SE SEVERE DROUGHT EX EXTREME DROUGHT

64

DISTRICT TOTAL:

65

SETTLEMENTS, VILLAGES, MAJOR TOWNS AND POPULATIONEXPOSED TO DROUGHT

66

LAND USE & LAND COVER EXPOSED TO DROUGHT

CROP EXPOSED TO DROUGHT (RABI SEASON)

67

68

CROP EXPOSED TO DROUGHT (KHARIF SEASON)

65

AZIM

SHAH

BAGH

O BA

HAR

CHAC

HRAN

SHAR

IFCH

AK N

O 04

5/P

CHAK

NO

51/P

_1CH

ANDI

ADE

SSER

TDI

NPUR

SHAR

IFGA

RHI IK

HTIA

R KH

ANGH

ANA

LAR

GHAZ

I PUR

JAJJA

ABB

ASSI

ANJE

THA

BHUT

TAJH

ORAN

KOTL

A PA

THAN

LATK

IM

AD B

AHOR

AM

ARI A

LLAH

BAC

HAYA

MUE

ENAB

ADNA

WAN

KOT

NEEL

GAR

HQA

DIR

PUR

SEHJ

AUN

KNOW

N

178/

7-R

AHM

AD A

LI LA

RAL

LAH

ABAD

AMIN

ABAD

CHAK

NO

010/

ABS

CHAK

NO

042/

ABS

CHAK

NO

046/

ABS

CHAK

NO

068/

ABS

CHAN

JNI

DASH

TIDE

SSER

TDU

FLI K

ABIR

KHA

NGH

UKA

GUL M

OHAM

MAD

LANG

AH U

HAYA

T LAR

JAN

PUR

JHOK

GUL

AB SH

AHKH

AN B

ELA

LIAQU

AT P

UR CI

TYM

OHAM

MAD

DAH

ANA

LA M

USAN

IPA

KKA

LARA

NSH

AIDA

NI SH

ARIF

TRIN

DA G

URGA

IJTR

INDA

MOH

AMM

AD PA

NAH

ZAFF

AR A

BAD

UNIO

NCO

UNCI

LS

KHANPUR LIAQATPUR

TEHS

IL T

OTAL

:

TEHS

IL T

OTAL

:

TEHS

IL T

OTAL

:

DEM

OGRA

PHIC

SPO

PULA

TION

Zone 1

Zone 2A

Zone 2B

Zone 3

Zone 4

TELE

COM

MUN

ICAT

ION

TOW

ERS

HOUS

ING

& S

ETTL

EMEN

TSSE

TTLE

MEN

TS B

UILD

INGS

(All

Type

s)PA

CCA

BULD

INGS

SEM

I PAC

CA B

UILD

INGS

KACH

A BU

ILDI

NGS

Zone 1

Zone 2A

Zone 2B

Zone 3

Zone 4

0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0

0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0

38 5 21 1 3 21 17 51 54 45 40 26 27 16 36 32 31 46 45 26 38 14 19 1 653

24 30 31 23 46 41 19 40 11 21 58 42 38 24 36 27 27 13 5 26 32 20 14 50 37 13 748

0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0

0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0

Zone 1

Zone 2A

Zone 2B

Zone 3

Zone 4

0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0

0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0

15,23

4

5,142

5,582

3,423 0

6,445 0

4,726

5,339

5,416

5,255

5,632

5,933

5,852

4,909

5,059

4,913

5,196

5,136

5,538

20,82

6

6,264

4,414 0

136,2

34

9,672

6,057

6,824

6,973

6,593

7,768

5,859

6,365

6,068

7,856 0

7,176

6,783

6,700

6,798

7,673

6,187

6,571

7,559

7,785

4,175

7,328

7,024

7,998

7,404

5,627

172,8

23

0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0

0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0

Zone 1

Zone 2A

Zone 2B

Zone 3

Zone 4

0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0

0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0

8,553

1,358

1,676

989 0

2,378 0

2,087

2,130

2,040

2,076

1,405

1,917

3,263

1,977

1,414

1,574

2,301

1,815

2,804

8,703

2,479

2,044 0

54,98

3

1,707

1,744

3,698

2,226

2,243

2,336

2,126

2,432

3,119

3,171 0

1,649

2,749

1,652

4,414

4,029

1,105

3,340

5,479

4,586

1,303

3,381

2,737

4,714

2,761

2,516

71,21

7

0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0

0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0

Zone 1

Zone 2A

Zone 2B

Zone 3

Zone 4

0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0

0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0

3,817

2,965

3,064

1,690 0

3,607 0

1,967

2,425

2,306

2,432

2,760

2,984

2,069

2,311

2,746

2,771

2,437

2,136

1,950

7,498

2,953

1,857 0

58,74

5

6,549

3,247

2,486

3,605

3,385

4,430

3,276

3,425

2,445

3,665 0

4,413

2,694

4,484

2,126

2,861

4,279

2,430

821

2,613

2,105

2,860

3,312

2,771

3,683

2,407

80,37

2

0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0

0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0

Zone 1

Zone 2A

Zone 2B

Zone 3

Zone 4

0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0

0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0

2,864

819

842

744 0 460 0 672

784

1,071

746

1,467

1,031

521

621

900

568

458

1,184

783

4,625

831

513 0

22,50

4

1,415

1,066

640

1,142

966

1,003

457

508

504

1,021 0

1,115

1,339

563

258

782

804

801

1,259

586

767

1,087

975

514

961

703

21,23

6

0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0

0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0

Zone 1

Zone 2A

Zone 2B

Zone 3

Zone 4

0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0

0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0

13 9 14 11 0 15 5 45 12 4 33 12 27 19 11 5 4 7 18 11 33 10 11 0 329 0 1 19 8 23 45 4 16 24 10 34 1 0 4 6 5 0 4 0 1 5 11 5 25 5 8 264

0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0

0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0

Zone 1

Zone 2A

Zone 2B

Zone 3

Zone 4

0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0

0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0

0 0 0 0 0 0 0 1 0 0 0 0 1 0 0 0 0 0 0 0 0 0 1 0 3 0 0 0 0 0 1 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 1

0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0

0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0

Zone 1

Zone 2A

Zone 2B

Zone 3

Zone 4

0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0

0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0

1 0 1 0 0 1 0 4 2 1 0 1 1 0 1 0 0 0 1 1 2 0 1 0 18 0 0 1 1 0 3 0 0 1 1 0 1 1 0 2 0 0 2 1 1 1 2 0 2 1 1 22

0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0

0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0

INDU

STRI

ALUN

ITS

HEAL

THFA

CILI

TIES

0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0

0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0

115,3

49

38,93

2

42,26

6

25,91

5

0

48,79

8

0

35,78

6

40,42

8

41,01

0

39,78

9

42,64

8

44,92

2

44,31

4

37,16

9

38,30

9

37,20

0

39,34

2

38,88

7

41,93

0

157,6

98

47,43

1

33,42

4

0

1,031

,547

70,63

5

44,23

6

49,83

6

50,92

5

48,15

1

56,73

3

42,78

8

46,48

3

44,31

7

57,37

8

0

52,41

1

49,53

6

48,92

9

49,64

4

56,03

9

45,18

5

47,98

8

59,53

6

56,85

8

30,49

1

53,51

5

51,29

9

58,41

4

54,07

6

41,09

2

1,266

,495

0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0

0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0

ELEM

ENTS

EXP

OSED

TO

EART

HQUA

KE H

AZAR

D24

ABAD

PUR

AKRA

M A

BAD

AMAN

GAR

HAM

IN G

ARH

BADL

I SHA

RIF

BAHA

UDI P

UR Q

URES

HIAN

BAHI

SHTI

BULA

QI W

ALI

CHAK

NO

105/

PCH

AK N

O 13

9/P

CHAK

NO

228/

PCH

AK N

O 51

/PCH

AK N

O 84

/PDA

RI A

ZIM

KHA

NDE

SSER

TGA

LOUR

MAS

SU K

HAN

HAJI P

URKO

T MEH

NDI S

HAH

MAU

MUB

ARIK

MIA

NWAL

I QUR

ESHI

ANM

IANW

ALI S

HEIK

HAN

MUR

TAZA

ABA

DRA

HIM

YAR

KHAN

RAJA

NPUR

SHAH

PUR

SHER

INSO

NAK

THUL

KHA

IR M

OHAM

MAD

KTI

BBI G

UL M

OHAM

MAD

WAH

KOH

NA

ADAM

SOHA

BAAH

MAD

PUR

LAM

MA

BHON

GBH

OTA

WAH

ANCH

AK N

O 16

0/P

CHAK

NO

173/

PCH

AK N

O 26

4/P

DESS

ERT

DHAN

DIDR

IGRA

GOTH

JANG

OOJA

MAL

DIN

WAL

IKO

T SAN

JAR

KHAN

MAC

HKA

MOH

AMM

AD P

URM

UHIB

SHAH

NAW

AZAB

ADRA

HIM

ABAD

RANJ

HE K

HAN

RASO

OL P

URRO

SHAN

BHA

INT

SADI

QABA

DSA

NJAR

PUR

UNIO

NCO

UNCI

LS

RAHIM YAR KHAN SADIQABAD

TEHS

IL T

OTAL

:

TEHS

IL T

OTAL

:

TEHS

IL T

OTAL

:

DEM

OGRA

PHIC

SPO

PULA

TION

Zone 1

Zone 2A

Zone 2B

Zone 3

Zone 4

TELE

COM

MUN

ICAT

ION

TOW

ERS

HOUS

ING

& S

ETTL

EMEN

TSSE

TTLE

MEN

TS B

UILD

INGS

(All

Type

s)PA

CCA

BULD

INGS

SEM

I PAC

CA B

UILD

INGS

KACH

A BU

ILDI

NGS

Zone 1

Zone 2A

Zone 2B

Zone 3

Zone 4

0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0

0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0

23 16 0 9 16 41 8 40 0 1 6 6 2 17 1 37 33 22 46 52 40 23 19 32 38 30 40 25 29 1 653

24 32 54 23 3 0 2 4 27 26 4 29 24 54 39 19 54 41 13 49 21 8 8 558

2,612

0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0

0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0

Zone 1

Zone 2A

Zone 2B

Zone 3

Zone 4

0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0

0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0

4,949

6,943

5,068

15,68

8

4,712

6,859

5,018

4,935

5,672

4,832

5,864

4,167

7,158

4,197 0

5,994

14,97

4

6,240

3,859

6,131

6,099

4,238

48,15

2

6,283

5,828

5,883

5,152

5,562

9,146

5,398

225,0

01

4,683

13,54

6

6,495

4,994

7,015

6,047

5,727 0

24,83

1

6,381

6,875

6,736

4,677

7,557

4,955

5,647

6,001

7,203

5,893

5,867

18,84

9

22,40

9

6,213

188,6

01

722,6

59

0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0

0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0

Zone 1

Zone 2A

Zone 2B

Zone 3

Zone 4

0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0

0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0

1,253

3,343

3,254

9,642

1,944

2,428

1,915

1,079

2,404

2,391

1,184

1,771

3,050

1,624 0

2,714

6,806

3,071

1,185

3,496

3,483

1,584

29,87

1

3,303

2,137

1,658

3,007

1,106

5,977

1,843

108,5

23

2,232

7,068

1,724

1,984

2,922

2,768

2,427 0

13,79

2

2,365

3,352

1,797

1,862

824

2,132

2,394

2,567

2,071

3,036

2,190

10,56

4

12,07

2

2,980

85,12

3

319,8

46

0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0

0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0

Zone 1

Zone 2A

Zone 2B

Zone 3

Zone 4

0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0

0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0

2,844

2,825

1,485

3,142

2,396

3,559

2,786

2,314

2,958

2,197

3,654

2,048

2,938

2,116 0

2,839

6,957

2,414

1,784

2,169

2,331

2,397

9,609

2,452

3,205

3,635

1,806

3,504

2,343

2,486

87,19

3

2,062

4,716

3,927

2,559

3,127

2,881

2,708 0

7,200

3,020

2,888

4,407

2,069

5,265

2,132

2,163

2,819

3,839

2,053

2,434

3,156

6,738

2,302

74,46

5

300,7

75

0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0

0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0

Zone 1

Zone 2A

Zone 2B

Zone 3

Zone 4

0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0

0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0

851

775

329

2,904

371

872

318

1,542

310

244

1,025

348

1,171

456 0 442

1,211

756

891

465

285

257

8,672

528

486

590

339

953

826

1,069

29,28

6

389

1,762

844

450

966

398

592 0

3,838

995

635

533

746

1,468

691

1,089

615

1,293

804

1,243

5,129

3,599

932

29,01

1

102,0

37

0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0

0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0

Zone 1

Zone 2A

Zone 2B

Zone 3

Zone 4

0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0

0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0

7 1 50 43 15 12 8 4 5 12 1 22 17 18 0 1 18 17 8 17 15 7 175

12 7 4 10 18 19 5 548 5 26 19 0 9 12 7 34 97 11 14 11 5 4 10 12 8 7 12 17 30 0 14 364

1,505

0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0

0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0

Zone 1

Zone 2A

Zone 2B

Zone 3

Zone 4

0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0

0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0

0 0 1 15 0 0 0 1 0 0 0 0 2 1 0 0 0 0 1 0 0 0 24 0 0 0 0 0 1 0 46 0 1 0 0 0 0 0 0 5 0 0 1 0 0 0 0 0 0 0 0 2 0 0 9 59

0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0

0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0

Zone 1

Zone 2A

Zone 2B

Zone 3

Zone 4

0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0

0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0

1 0 0 1 0 0 0 0 0 0 0 1 0 1 1 0 2 1 2 2 1 1 1 2 1 1 1 1 2 0 23 1 2 1 0 0 1 0 0 3 0 0 2 3 1 0 1 2 1 1 0 0 0 0 19 82

0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0

0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0

INDU

STRI

ALUN

ITS

HEAL

THFA

CILI

TIES

0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0

0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0

37,53

4

52,66

0

38,43

9

116,4

87

35,73

7

52,02

6

38,05

9

37,43

2

43,02

3

36,65

2

44,47

5

31,60

4

54,29

3

31,83

4

0

45,46

5

111,1

89

47,33

1

29,27

3

46,50

1

46,25

8

32,14

2

357,5

48

47,65

8

44,20

5

44,62

5

39,07

8

42,18

8

67,91

0

40,94

3

1,692

,569

36,38

3

103,5

28

50,46

2

38,80

0

54,50

3

46,98

7

44,49

8

0

189,7

72

49,57

7

53,42

0

52,34

1

36,33

8

58,71

4

38,49

7

43,87

5

46,62

7

55,96

7

45,78

8

45,58

9

144,0

59

171,2

67

48,27

7

1,455

,269

5,445

,880

0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0

0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0

70

AZIM

SHA

HBA

GHO

BAHA

RCH

ACHR

AN S

HARI

FCH

AK N

O 04

5/P

CHAK

NO

51/P

_1CH

ANDI

ADE

SSER

TDI

NPU

R SH

ARIF

GARH

I IKH

TIAR

KHA

NGH

ANA

LAR

GHAZ

I PUR

JAJJA

ABB

ASSI

ANJE

THA

BHUT

TAJH

ORAN

KOTL

A PA

THAN

LATK

IM

AD B

AHOR

AM

ARI A

LLAH

BAC

HAYA

MUE

ENAB

ADN

AWAN

KOT

NEE

L GA

RHQA

DIR

PUR

SEHJ

AUN

KNOW

N

178/

7-R

AHM

AD A

LI L

ARAL

LAH

ABAD

AMIN

ABAD

CHAK

NO

010/

ABS

CHAK

NO

042/

ABS

CHAK

NO

046/

ABS

CHAK

NO

068/

ABS

CHAN

JNI

DASH

TIDE

SSER

TDU

FLI K

ABIR

KHA

NGH

UKA

GUL

MOH

AMM

AD L

ANGA

H U

HAYA

T LA

RJA

N P

URJH

OK G

ULAB

SHA

HKH

AN B

ELA

LIAQ

UAT

PUR

CITY

MOH

AMM

AD D

AHA

NAL

A M

USAN

IPA

KKA

LARA

NSH

AIDA

NI S

HARI

FTR

INDA

GUR

GAIJ

TRIN

DA M

OHAM

MAD

PAN

AHZA

FFAR

ABA

D

UNIO

NCO

UNCI

LS

LIAQATPUR KHANPUR

TEHS

IL T

OTAL

:

TEHS

IL T

OTAL

:

TRAN

SPOR

TATI

ON &

INFR

ASTR

UCTU

REM

OTOR

WAY

& H

IGHW

AY(k

m)

SECO

NDA

RY R

OADS

(MET

ALLE

D) (k

m)

UNM

ETAL

LED

ROAD

/CAR

TTR

ACK/

PACK

TRA

CKRA

ILW

AY T

RACK

(km

)

Zone 1

Zone 2A

Zone 2B

Zone 3

Zone 4

0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0

0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0

0 0 0 0 0 2 0 0 0 0 12 4 0 7 0 0 0 0 0 0 0 0 0 2 27 0 0 0 6 0 0 0 0 0 0 0 0 0 0 0 0 0 3 0 1 0 0 0 11 0 0 22

0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0

0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0

Zone 1

Zone 2A

Zone 2B

Zone 3

Zone 4

0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0

0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0

37 24 35 16 4 34 61 27 23 24 16 16 26 9 16 20 20 27 25 35 32 12 16 4 557 9 7 25 10 38 57 30 41 22 16 113

16 23 2 24 4 4 10 3 14 19 32 13 14 8 14 567

0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0

0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0

Zone 1

Zone 2A

Zone 2B

Zone 3

Zone 4

0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0

0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0

10 29 13 14 1 5 413

15 6 16 5 9 18 14 10 9 8 16 20 10 29 8 3 0 680 6 22 1 8 16 8 11 13 3 0 728

21 11 6 22 18 14 11 2 17 9 2 12 15 9 7 994

0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0

0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0

Zone 1

Zone 2A

Zone 2B

Zone 3

Zone 4

0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0

0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0

0 0 0 0 2 0 0 0 0 0 0 0 11 0 0 5 0 0 8 0 7 0 9 0 42 0 0 0 0 18 14 3 11 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 46

0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0

0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0

CRIT

ICAL

INFR

ASTR

UCTU

RESN

GPL

(GAS

PIP

ELIN

E)(k

m)

OTHE

R

Zone 1

Zone 2A

Zone 2B

Zone 3

Zone 4

0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0

0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0

3 8 9 0 0 0 0 5 10 0 11 14 0 11 17 0 0 0 0 16 0 4 0 2 108 0 7 7 10 21 5 5 0 8 7 0 9 8 0 0 6 0 3 3 14 10 11 6 17 6 10 172

0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0

0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0

Zone 1

Zone 2A

Zone 2B

Zone 3

Zone 4

0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0

0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0

0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 1 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 1

0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0

0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0

EDUC

ATIO

N F

ACIL

ITIE

S S

CHOO

LSN

UMBE

R OF

TEA

CHER

S

Zone 1

Zone 2A

Zone 2B

Zone 3

Zone 4

0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0

0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0

51 43 21 24 4 24 4 42 19 30 26 32 41 28 27 48 26 41 42 37 37 15 16 3 681

16 16 47 37 80 86 25 37 34 19 57 19 36 7 45 31 5 19 4 26 33 33 20 43 26 37 838

0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0

0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0

Zone 1

Zone 2A

Zone 2B

Zone 3

Zone 4

0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0

0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0

2,659

2,534

2,062

1,386

261

1,874

164

2,857

1,755

1,577

1,690

3,203

2,181

1,678

1,448

1,917

851

1,828

3,064

1,820

2,684

1,907

976

241

42,61

7

1,482

1,042

3,476

1,989

2,162

8,874

1,731

2,037

4,295

1,900

4,399

2,181

2,189

414

2,194

2,284

317

1,875

269

1,563

2,178

2,483

1,142

2,545

1,077

2,620

58,71

8

0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0

0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0

Zone 1

Zone 2A

Zone 2B

Zone 3

Zone 4

0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0

0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0

2,404

2,199

1,107

1,362

294

1,478

127

8,196

1,189

1,173

1,397

2,590

2,762

1,231

1,385

1,735

1,199

1,799

2,773

1,649

4,187

748

1,253

137

44,37

4

1,012

595

3,076

1,379

1,662

8,088

1,669

2,524

2,497

1,051

2,625

775

1,431

243

1,869

1,189

163

985

199

1,492

1,625

1,440

689

2,489

814

1,408

42,98

9

0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0

0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0

Zone 1

Zone 2A

Zone 2B

Zone 3

Zone 4

0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0

0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0

166

130

80 87 17 84 9 333

80 85 58 145

172

82 75 120

64 127

190

94 207

60 63 9

2,537 58 39 183

95 124

502

108

118

197

84 180

73 95 15 131

98 11 83 10 87 106

119

51 160

56 121

2,904

0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0

0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0

NUM

BER

OF S

TUDE

NTS

BOYS

GIRL

S

71

ABAD

PUR

AKRA

M A

BAD

AMAN

GAR

HAM

IN G

ARH

BADL

I SHA

RIF

BAHA

UDI P

UR Q

URES

HIAN

BAHI

SHTI

BULA

QI W

ALI

CHAK

NO

105/

PCH

AK N

O 13

9/P

CHAK

NO

228/

PCH

AK N

O 51

/PCH

AK N

O 84

/PDA

RI A

ZIM

KHA

NDE

SSER

TGA

LOUR

MAS

SU K

HAN

HAJI

PUR

KOT

MEH

NDI

SHA

HM

AU M

UBAR

IKM

IAN

WAL

I QUR

ESHI

ANM

IAN

WAL

I SHE

IKHA

NM

URTA

ZA A

BAD

RAHI

M Y

AR K

HAN

RAJA

NPU

RSH

AH P

URSH

ERIN

SON

AKTH

UL K

HAIR

MOH

AMM

AD K

TIBB

I GUL

MOH

AMM

ADW

AH K

OHN

A

ADAM

SOH

ABA

AHM

AD P

UR L

AMM

ABH

ONG

BHOT

A W

AHAN

CHAK

NO

160/

PCH

AK N

O 17

3/P

CHAK

NO

264/

PDE

SSER

TDH

ANDI

DRIG

RAGO

TH JA

NGO

OJA

MAL

DIN

WAL

IKO

T SA

NJA

R KH

ANM

ACHK

AM

OHAM

MAD

PUR

MUH

IB S

HAH

NAW

AZAB

ADRA

HIM

ABAD

RAN

JHE

KHAN

RASO

OL P

URRO

SHAN

BHA

INT

SADI

QABA

DSA

NJA

RPUR

UNIO

NCO

UNCI

LS

RAHIM YAR KHAN KHANPUR

TEHS

IL T

OTAL

:DI

STRI

CT T

OTAL

:

TEHS

IL T

OTAL

:

TRAN

SPOR

TATI

ON &

INFR

ASTR

UCTU

REM

OTOR

WAY

& H

IGHW

AY(k

m)

SECO

NDA

RY R

OADS

(MET

ALLE

D) (k

m)

UNM

ETAL

LED

ROAD

/CAR

TTR

ACK/

PACK

TRA

CKRA

ILW

AY T

RACK

(km

)

Zone 1

Zone 2A

Zone 2B

Zone 3

Zone 4

0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0

0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0

0 2 0 3 0 2 0 1 0 0 0 0 0 0 0 1 1 10 0 11 5 8 0 0 0 0 0 0 0 0 43 0 10 0 0 0 0 0 0 0 0 2 0 3 0 5 6 0 0 5 0 9 0 6 46 138

0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0

0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0

Zone 1

Zone 2A

Zone 2B

Zone 3

Zone 4

0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0

0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0

23 18 14 32 17 28 29 28 15 42 27 49 51 23 9 23 34 0 37 13 19 22 44 29 28 23 21 38 24 14 776

30 39 50 31 48 53 29 20 84 28 39 45 28 0 33 29 36 34 10 49 28 11 18 769

2,670

0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0

0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0

Zone 1

Zone 2A

Zone 2B

Zone 3

Zone 4

0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0

0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0

1 7 10 0 1 18 6 0 9 4 54 7 23 6 135 5 4 5 0 2 0 9 12 16 8 14 2 4 5 18 382 7 5 20 1 17 0 34 145

27 0 1 4 7 0 8 5 25 6 5 7 0 0 6 331

2,387

0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0

0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0

Zone 1

Zone 2A

Zone 2B

Zone 3

Zone 4

0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0

0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0

0 0 0 5 0 0 0 0 0 0 0 0 3 10 0 0 0 0 0 0 0 0 13 0 0 0 4 0 0 0 34 4 3 0 0 0 0 0 0 30 0 4 0 0 0 0 0 0 0 4 0 0 2 0 46 168

0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0

0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0

CRIT

ICAL

INFR

ASTR

UCTU

RESN

GPL

(GAS

PIP

ELIN

E)(k

m)

OTHE

R

Zone 1

Zone 2A

Zone 2B

Zone 3

Zone 4

0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0

0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0

8 16 0 6 10 14 0 14 0 8 0 1 0 0 0 10 9 10 7 22 9 12 1 10 5 6 10 9 0 0 199 7 31 9 6 8 16 14 0 50 12 25 7 19 37 14 32 21 14 5 19 9 0 16 371

850

0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0

0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0

Zone 1

Zone 2A

Zone 2B

Zone 3

Zone 4

0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0

0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0

0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 1 0 0 0 0 0 0 0 1 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 2

0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0

0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0

EDUC

ATIO

N F

ACIL

ITIE

S S

CHOO

LSN

UMBE

R OF

TEA

CHER

S

Zone 1

Zone 2A

Zone 2B

Zone 3

Zone 4

0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0

0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0

24 21 47 53 21 28 23 32 20 30 53 37 74 48 7 37 30 26 39 22 21 29 112

32 24 24 38 25 26 36 1,039 24 24 33 15 42 35 29 13 106

23 34 20 21 8 45 20 29 31 16 41 40 14 28 691

3,249

0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0

0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0

Zone 1

Zone 2A

Zone 2B

Zone 3

Zone 4

0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0

0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0

2,630

1,466

6,937

6,144

2,061

1,640

1,646

2,169

1,334

2,565

2,972

2,951

6,098

3,511

410

2,572

1,979

2,669

3,281

1,800

2,108

2,784

18,73

0

2,694

1,762

2,060

2,518

1,933

2,545

2,337

96,30

6

2,401

5,012

2,879

967

2,562

2,215

1,932

590

10,88

1

1,865

2,704

1,404

1,970

2,372

3,213

2,599

3,117

1,620

1,198

3,551

4,444

1,117

2,418

63,03

1

260,6

72

0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0

0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0

Zone 1

Zone 2A

Zone 2B

Zone 3

Zone 4

0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0

0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0

1,574

686

5,333

6,023

1,467

917

874

1,311

930

1,965

1,503

2,646

4,687

3,678

143

1,272

2,511

2,634

1,990

1,029

1,554

1,593

18,20

1

1,410

899

985

1,750

1,215

2,749

2,114

75,64

3

1,875

2,999

1,404

450

2,016

1,563

909

416

11,79

7

959

1,943

1,882

571

310

2,196

1,483

854

747

627

2,215

2,973

776

1,734

42,69

9

205,7

05

0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0

0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0

Zone 1

Zone 2A

Zone 2B

Zone 3

Zone 4

0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0

0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0

100

51 451

374

104

59 89 100

78 159

154

180

366

214

17 98 118

159

142

73 100

117

1,144

102

60 73 118

79 173

154

5,206

145

181

113

41 151

101

80 24 687

82 154

76 68 41 159

85 83 63 44 150

193

53 107

2,881

13,52

8

0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0

0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0

NUM

BER

OF S

TUDE

NTS

BOYS

GIRL

S

72

73

BUILT UP, MAJOR INDUSTRIES & CRITICAL INFRASTRUCTUREEXPOSED TO EARTHQUAKE 50 YEAR RETURN PERIOD

BUILT UP, MAJOR INDUSTRIES & CRITICAL INFRASTRUCTUREEXPOSED TO EARTHQUAKE 475 YEAR RETURN PERIOD

74

75

SCHOOLS, HEALTH AND BUILDING EXPOSED TO EARTHQUAKE 50 YEAR RETURN PERIOD

COMMUNICATION TOWERS AND TRANSPORTATION NETWORKEXPOSED TO EARTHQUAKE 475 YEARS RETURN PERIOD

76

SETTLEMENTS, VILLAGES, MAJOR TOWNS AND POPULATIONEXPOSED TO EARTHQUAKE RETURN PERIOD 50 YEARS

77

SETTLEMENTS, VILLAGES, MAJOR TOWNS AND POPULATIONEXPOSED TO EARTHQUAKE RETURN PERIOD 475 YEARS

78

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ILDI

NG

INDU

STRI

ALUN

ITS

MOT

ORW

AY/H

IGHW

AY/

GRAN

D TR

UNK

ROAD

SECO

NDA

RYRO

ADS

(MET

ALLE

D)

UNM

ETAL

LED

ROAD

/CAR

TTR

ACK/

PACK

TRAC

K

RAIL

WAY

TRAC

KHE

ALTH

FACI

LITI

ESSC

HOOL

SN

UMBE

R OF

TEAC

HER

SNGP

L*(G

AS P

IPEL

INE)

OTHE

RSCR

OPIR

RIGA

TED

CROP

INFL

OOD

PLAI

NCR

OPRA

INFE

DCR

OP M

ARGI

NAL

& S

ALIN

EOR

CHAR

DSBU

ILT

UPRI

CESU

GARC

ANE

BOYS

NUM

BER

OF S

TUDE

NTS

GIRL

S

37,5

34 0 0 0 052

,026 0 0 0 0 0 0 0 0 0

45,4

6511

1,18

90 0 0 0 0 0

47,6

5844

,205

44,6

25 042

,188 0 0

424,

890

0 050

,462

38,8

00 0 0 0 0 0 0 052

,341 0

58,7

14 0 046

,627 0 0 0 0 0 0

246,

944

1,29

7,24

0

19,4

37 0 0 0 027

,570 0 0 0 0 0 0 0 0 0

23,5

5757

,831 0 0 0 0 0 0

25,3

9923

,139

23,7

72 022

,105 0 0

222,

810

0 026

,236

20,4

24 0 0 0 0 0 0 027

,473 0

31,3

27 0 024

,612 0 0 0 0 0 0

130,

072

676,

486

18,0

98 0 0 0 024

,456 0 0 0 0 0 0 0 0 0

21,9

0853

,358 0 0 0 0 0 0

22,2

5921

,066

20,8

54 020

,083 0 0

202,

082

0 024

,226

18,3

76 0 0 0 0 0 0 024

,868 0

27,3

88 0 022

,015 0 0 0 0 0 0

116,

873

620,

756

23 0 0 0 0 41 0 0 0 0 0 0 0 0 0 37 33 0 0 0 0 0 0 32 38 30 0 25 0 0 259 0 0 54 23 0 0 0 0 0 0 0 29 0 54 0 0 54 0 0 0 0 0 0 214

761

4,94

90 0 0 0

6,85

90 0 0 0 0 0 0 0 0

5,99

58,

168

0 0 0 0 0 06,

283

5,82

85,

883

05,

563

0 049

,528 0 0

6,49

54,

994

0 0 0 0 0 0 06,

736

07,

557

0 06,

001

0 0 0 0 0 031

,783

166,

272

1,25

30 0 0 0

2,42

80 0 0 0 0 0 0 0 0

2,71

468

06 0 0 0 0 0 03,

303

2,13

71,

658

01,

106

0 014

,599 0 0

1,72

41,

984

0 0 0 0 0 0 01,

797

0 824 0 0

2,56

70 0 0 0 0 0

8,89

6

53,8

22

851 0 0 0 0 872 0 0 0 0 0 0 0 0 0 442

1,21

10 0 0 0 0 0 52

848

659

0 0 953 0 0

5,93

30 0 84

445

0 0 0 0 0 0 0 0 533 0

1,46

80 0 61

5 0 0 0 0 0 03,

910

36,1

03

2,84

40 0 0 0

3,55

90 0 0 0 0 0 0 0 0

2,83

96,

957

0 0 0 0 0 02,

452

3,20

53,

635

03,

504

0 028

,995 0 0

3,92

72,

559

0 0 0 0 0 0 04,

407

05,

265

0 02,

819

0 0 0 0 0 018

,977

76,3

47

7 0 0 0 0 12 0 0 0 0 0 0 0 0 0 1 18 0 0 0 0 0 0 12 7 4 0 18 0 0 79 0 0 19 0 0 0 0 0 0 0 0 11 0 4 0 0 8 0 0 0 0 0 0 42 222

0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 1 0 0 0 0 0 0 0 0 0 0 0 1 1

0 0 0 0 0 2 0 0 0 0 0 0 0 0 0 1 1 0 0 0 0 0 0 0 0 0 0 0 0 0 5 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 21

23 0 0 0 0 28 0 0 0 0 0 0 0 0 0 23 34 0 0 0 0 0 0 29 28 23 0 38 0 0 227 0 0 50 31 0 0 0 0 0 0 0 45 0 0 0 0 37 0 0 0 0 0 0 162

581

1 0 0 0 0 18 0 0 0 0 0 0 0 0 0 5 4 0 0 0 0 0 0 16 8 14 0 4 0 0 69 0 0 20 1 0 0 0 0 0 0 0 4 0 0 0 0 25 0 0 0 0 0 0 51 259

0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0

1 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 2 0 0 0 0 0 0 2 1 1 0 1 0 0 8 0 0 1 0 0 0 0 0 0 0 0 2 0 1 0 0 2 0 0 0 0 0 0 6 23

24 0 0 0 0 28 0 0 0 0 0 0 0 0 0 37 30 0 0 0 0 0 0 32 24 24 0 25 0 0 224 0 0 33 15 0 0 0 0 0 0 0 20 0 8 0 0 29 0 0 0 0 0 0 105

591

2,63

00 0 0 0

1,64

00 0 0 0 0 0 0 0 0

2,57

21,

979

0 0 0 0 0 02,

694

1,76

22,

060

01,

933

0 017

,270 0 0

2,87

996

7 0 0 0 0 0 0 01,

404

02,

372

0 03,

117

0 0 0 0 0 010

,739

48,6

53

1,57

40 0 0 0 91

7 0 0 0 0 0 0 0 0 01,

272

2,51

10 0 0 0 0 0

1,41

089

998

5 01,

215

0 010

,783 0 0

1,40

445

0 0 0 0 0 0 0 01,

882

0 310 0 0 854 0 0 0 0 0 0

4,90

0

27,1

29

100 0 0 0 0 59 0 0 0 0 0 0 0 0 0 98 118 0 0 0 0 0 0 102

60 73 0 79 0 0 689 0 0 113

41 0 0 0 0 0 0 0 76 0 41 0 0 83 0 0 0 0 0 0 354

1,91

7

8 0 0 0 0 14 0 0 0 0 0 0 0 0 0 10 9 0 0 0 0 0 0 10 5 6 0 9 0 0 71 0 0 9 6 0 0 0 0 0 0 0 7 0 38 0 0 21 0 0 0 0 0 0 82 229

0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 1

2,72

50 0 0 0

5,26

00 0 0 0 0 0 0 0 0

5,80

44,

851

0 0 0 0 0 03,

181

3,63

63,

279

03,

339

0 032

,075 0 0

6,98

13,

774

0 0 0 0 0 0 03,

196

03,

565

0 07,

970

0 0 0 0 0 025

,487

115,

178

2,39

70 0 0 0 0 0 0 0 0 0 0 0 0 0 0 11

6 0 0 0 0 0 03,

279

3,38

54,

893

02,

818

0 016

,889 0 0

2,57

30 0 0 0 0 0 0 0

1,39

60

10,7

13 0 0 467 0 0 0 0 0 0

15,1

49

53,6

80

0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 56

145 0 0 0 0 279 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 64 27 90 0 0 0 0 606 0 0 185

83 0 0 0 0 0 0 0 448 0 515 0 0 671 0 0 0 0 0 0

1,90

2

2,73

6

485 0 0 0 0

1,72

90 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 40

691

225

4 0 189 0 0

3,97

40 0

1,01

719

0 0 0 0 0 0 0 0 739 0 56 0 0 295 0 0 0 0 0 0

2,29

7

6,35

3

86 0 0 0 0 183 0 0 0 0 0 0 0 0 0 163

465 0 0 0 0 0 0 149

87 65 0 260 0 0

1,45

90 0 17

747 0 0 0 0 0 0 0 24

4 0 170 0 0 78 0 0 0 0 0 0 717

3,61

9

1 0 0 0 0 2 0 0 0 0 0 0 0 0 0 212

357 0 0 0 0 0 0 0 34 25 0 30 0 0 661 0 0 0 0 0 0 0 0 0 0 0 0 0

1,85

10 0 0 0 0 0 0 0 0

1,85

1

5,58

9

1,14

00 0 0 0

1,91

10 0 0 0 0 0 0 0 0

1,25

642

3 0 0 0 0 0 02,

247

2,27

42,

205

01,

024

0 012

,480 0 0

3,67

61,

210

0 0 0 0 0 0 01,

453

0 525 0 0

2,81

90 0 0 0 0 0

9,68

3

31,2

44

TEHS

IL T

OTAL

:

TEHS

IL T

OTAL

:

DIST

RICT

TOT

AL:

80

LAND USE & LAND COVER EXPOSED TO FLOODRETURN PERIOD 10 YEARS

81


82

83


84

COMMUNICATION TOWERS AND TRANSPORTATION NETWORKEXPOSED TO FLOOD 10 YEARS RETURN PERIOD

85


86


87

SCHOOLS, HEALTH AND BUILDING EXPOSED TO FLOOD 10 YRP

88


89


90

CROP EXPOSED TO FLOOD RETURN PERIOD 10 YEARS(KHARIF SEASON)


91


92

94

VULNERABILITY ASSESSMENTSOCIAL VULNERABILITYFOOD SECURITYD

26 SOCIAL & PHYSICAL VULNERABILITY ASSESSMENT

Physical Vulnerability Analysis (PVA)

For fragility analysis of buildings the structures are classified into engineered and non-engineered constructions. The engineered structured are analyzed by conducting laboratory experiments on building constituent materials such as brick units, mortar, brick assemblages, brick panels and brick walls for masonry structures and concrete cylinders, reinforcing steel bars, structural beam-column members for reinforced concrete structures. However, the complexity of non-engineered buildings, that depend solely on material properties are not reliable owing to the complexity of structure for modeling On National scale the construction typologies in Pakistan are primarily based on the type of material used in the construction of walls, floors and roof, and the overall construction quality of a structure typology.

Vulnerability Assessment has been undertaken in terms of:

(a) Physical Dimension (b) Social Aspects (c) Agro based Food Security

Exposure is defined as the interaction of element at risk and hazard. The hazard severity, extent or magnitude of various return periods indicates the degree to which the elements at risk are exposed to a particular hazard. Primary and secondary sources were used for exposure analysis and it was performed by overlaying hazard information with elements at risk. Elements at risks were considered in the dimensions of population, building, essential & critical infrastructures and livelihood.

Buildings Surveyed for Physical Vulnerability Assessment

The damage state of building material based on the repair cost ratio i.e. the ratio of the cost of repair to the total building cost is given below.

Based on the type used according to EMS-98 the building vulnerability scoring for earthquake and flood hazard are given below where fragility against earthquake is calculated using shake table test and numerical analysis approach, while flood vulnerabilty scoring is based on historical damage statistics.

To obtain a final composite score of social vulnerability, the factors were added to obtain the aggregated factor i.e. the Social Vulnerability Index for each of the District:

Social Vulnerability Assessment (SVA)

The Social Vulnerability Assessment focuses on the vulnerability characterization of communities, considering both the vulnerabilities of physical systems and the social conditions that can increase or decrease the impact of disasters in the considered area. The assessment is based on susceptibility of populations to loss, which is quantified using the methodology known as Social Vulnerability Index (SoVI). The SoVI for District Khushab is given in the table below.

Damage State Repair Cost Ratio

SlightModerateHeavySevere

0 - 5%5 - 20%

20 - 50%50 - 100%

Building Vulnerability Scoring

Building Vulnerability Scoring as per PBS Classification

Building TypesVulnerability Score

Earthquakes

Reinforced ConcreteStone MasonryMud/Adobe MasonryBrick MasonryWood/Bamboo TraditionalBlock MasonryOthers Undefined

3.095.567.143.792.505.006.25

Floods

2.55.4

7.143.664.824.24

5

EMS-98

RC1M1M2M5M7M800

Building Types Earthquakes

KacchaSemi-PaccaPacca

763

Floods

6.55.02.5

ComponentFactors VarianceObserved(%)

Directionality

Age, Education, HealthOutcome, Socioeconomic StatusRural Farm PopulationsInformation AccessChildren with DisabilitiesSocial BenefitsInfant safetyLow income laborersPoverty/Need for ExternalIncome SourcePreventative Health Measures

Positive

PositiveNegativePositiveNegativeNegativePositivePositive

Negative

29.76%

12.5%6.9%

5.99%5.66%5.61%5.31%5.22%

5%

1

2345678

9

SoVI Score = Factor 1 + Factor 2 + Factor 3 + Factor 4 + Factor 5+ Factor 6 + Factor 7 + Factor 8 + Factor 9

SoVI

Adjustment into anAdditive Model

Placing Componentswith their

directionality (+,-)

Principal ComponentsAnalysis

Data Collection

Defining Variables

Finding Accuracy ofData by Descriptive

Statistics

Finding BivariateCorrelation

Z-ScoreStandardization

Social Vulnerability index (SoVI)Model

95

FOOD SECURITY AGAINST DROUGHTFOOD SECURITY AGAINST DROUGHT

27

AgriculturalLand

(sq.km)

%age ofAgri to

Total Land

TotalPopulationRural UCs

(98 Census)

FoodInsecurity

FoodInsecurityRanking

Sadiqabad

Sadiqabad

Sadiqabad

Sadiqabad

Khan Pur

Rahim Yar Khan

Khan Pur

Rahim Yar Khan

Sadiqabad

Khan Pur

Rahim Yar Khan

Liaqat Pur

Khan Pur

Liaqat Pur

Khan Pur

Rahim Yar Khan

Khan Pur

Sadiqabad

Khan Pur

Liaqat Pur

Liaqat Pur

Rahim Yar Khan

Sadiqabad

Rahim Yar Khan

Rahim Yar Khan

Rahim Yar Khan

Rahim Yar Khan

Liaqat Pur

Liaqat Pur

Sadiqabad

Liaqat Pur

Liaqat Pur

Rahim Yar Khan

Liaqat Pur

Rahim Yar Khan

Khan Pur

Rahim Yar Khan

Khan Pur

Liaqat Pur

Liaqat Pur

Rahim Yar Khan

Khan Pur

Sadiqabad

Rahim Yar Khan

Khan Pur

Khan Pur

Rahim Yar Khan

Rahim Yar Khan

Rahim Yar Khan

Sadiqabad

46.23

102.83

76.30

22.68

82.98

68.62

53.53

68.78

219.95

58.89

65.04

52.10

79.43

28.14

104.56

94.77

76.95

92.85

4.97

42.53

85.09

61.88

64.54

92.58

82.79

85.43

64.86

47.78

46.72

61.60

44.25

91.65

42.37

45.74

47.17

27.82

51.24

72.85

45.86

37.13

75.48

68.44

81.58

75.58

52.13

90.87

60.17

71.81

69.69

90.01

42.02

94.03

70.41

20.97

76.73

64.21

51.14

66.05

169.23

56.93

63.01

50.75

77.55

27.52

83.13

79.65

67.66

83.60

4.53

38.38

77.83

56.62

59.32

85.16

76.98

79.59

60.45

44.58

43.82

57.80

41.56

86.40

39.96

43.21

44.59

26.33

48.66

69.42

43.78

35.50

72.21

65.65

78.26

72.69

50.17

87.63

58.04

69.29

67.34

87.04

90.90%

91.44%

92.27%

92.46%

92.47%

93.57%

95.53%

96.03%

76.94%

96.68%

96.89%

97.41%

97.64%

97.83%

79.50%

84.05%

87.92%

90.03%

91.02%

90.24%

91.46%

91.50%

91.91%

91.99%

92.98%

93.17%

93.20%

93.30%

93.80%

93.83%

93.92%

94.28%

94.31%

94.47%

94.53%

94.64%

94.96%

95.30%

95.46%

95.61%

95.68%

95.91%

95.93%

96.17%

96.24%

96.43%

96.46%

96.49%

96.63%

96.71%

28,889

27,902

23,037

25,929

24,879

18,874

28,351

23,169

30,263

23,780

19,057

29,535

26,826

38,984

23,910

18,738

28,740

30,504

24,459

32,239

24,275

21,772

26,458

27,570

26,209

28,062

31,667

30,928

31,321

27,505

25,654

21,188

16,828

13,315

21,384

27,426

31,220

22,679

28,312

22,193

25,456

33,491

30,846

23,800

24,745

26,956

28,256

17,356

27,281

36,361

36,576

36,910

36,986

36,988

37,429

38,210

38,414

38,471

38,670

38,755

38,966

39,056

39,131

39,751

42,023

43,960

45,015

45,512

27,072

27,439

27,450

27,572

27,596

27,893

27,951

27,961

27,991

28,141

28,150

28,175

28,283

28,292

28,341

28,359

28,392

28,488

28,589

28,639

28,682

28,703

28,774

28,778

28,851

28,872

28,930

28,938

28,948

28,989

29,013

5

5

5

5

5

5

5

5

5

5

5

5

5

5

5

5

5

5

5

4

4

4

4

4

4

4

4

4

4

4

4

4

4

4

4

4

4

4

4

4

4

4

4

4

4

4

4

4

4

4

Sanjarpur

Nawazabad

Mohammad Pur

Sadiqabad

Mueenabad

Dari Azim Khan

Jhoran

Sonak

Dhandi

Kotla Pathan

Murtaza Abad

Pakka Laran

Nawan Kot

178/7-r

Neel Garh

Chak No 51/p

Jetha Bhutta

Ahmad Pur Lamma

Chak No 51/p

Chanjni

Trinda Gurgaij

Wah Kohna

Adam Sohaba

Sherin

Mianwali Qureshian

Shah Pur

Kot Mehndi Shah

Dashti

Jan Pur

Jamal Din Wali

Allah Abad

Chak No 068/abs

Badli Sharif

Nala Musani

Tibbi Gul Mohammad

Sehja

Mianwali Sheikhan

Chandia

Zaffar Abad

Shaidani Sharif

Bulaqi Wali

Ghazi Pur

Rahimabad

Bahaudi Pur Qureshian

Mad Bahora

Azim Shah

Galour Massu Khan

Rajanpur

Mau Mubarik

Rasool Pur

4

4

4

4

4

4

4

4

5

4

4

4

4

4

5

5

5

5

5

3

3

3

3

3

3

3

3

3

3

3

3

3

3

3

3

3

3

3

3

3

3

3

3

3

3

3

3

3

3

3

Tehsil Drought SeverityScore

Union CouncilAreaof UC

(sq.km)

96

FOOD SECURITY AGAINST DROUGHT

AgriculturalLand

(sq.km)

%age ofAgri to

Total Land

TotalPopulationRural UCs

(98 Census)

FoodInsecurity


Rahim Yar Khan

Liaqat Pur

Liaqat Pur

Sadiqabad

Liaqat Pur

Khan Pur

Sadiqabad

Rahim Yar Khan

Sadiqabad

Sadiqabad

Liaqat Pur

Sadiqabad

Khan Pur

Liaqat Pur

Liaqat Pur

Liaqat Pur

Rahim Yar Khan

Khan Pur

Sadiqabad

Rahim Yar Khan

Khan Pur

Sadiqabad

Sadiqabad

Khan Pur

Liaqat Pur

Khan Pur

Rahim Yar Khan

Rahim Yar Khan

Sadiqabad

Rahim Yar Khan

Liaqat Pur

Sadiqabad

Liaqat Pur

Liaqat Pur

Rahim Yar Khan

Rahim Yar Khan

Sadiqabad

Rahim Yar Khan

Khan Pur

Rahim Yar Khan

Rahim Yar Khan

Khan Pur

Khan Pur

Liaqat Pur

Liaqat Pur

Khan Pur

Sadiqabad

Rahim Yar Khan

Khan Pur

Sadiqabad

Liaqat Pur

46.75

59.39

40.37

35.90

48.05

55.71

41.53

58.89

72.14

110.03

84.77

73.15

66.28

148.16

56.80

66.59

41.43

95.38

72.65

116.57

107.85

89.90

50.81

60.40

51.34

62.52

228.77

71.35

108.93

107.95

87.33

102.74

87.91

111.29

62.56

47.03

239.47

66.42

194.45

74.55

60.38

92.27

67.49

92.26

108.12

108.16

165.29

478.24

1385.19

539.64

3040.81

45.24

57.47

39.08

34.76

46.77

54.29

40.48

57.52

70.52

107.56

82.93

71.89

65.42

109.73

56.56

53.02

33.25

62.14

61.82

103.38

76.74

80.43

45.67

57.64

49.39

61.01

112.49

49.67

81.12

81.42

66.44

79.48

69.00

87.74

49.72

38.56

148.49

55.93

123.79

63.47

52.72

81.11

60.02

74.19

87.00

58.32

92.21

8.75

89.23

42.77

310.19

96.77%

96.78%

96.81%

96.83%

97.34%

97.45%

97.48%

97.68%

97.75%

97.76%

97.83%

98.29%

98.70%

74.06%

99.58%

79.63%

80.26%

65.15%

85.10%

88.68%

71.15%

89.47%

89.88%

95.44%

96.20%

97.59%

49.17%

69.62%

74.47%

75.42%

76.08%

77.36%

78.48%

78.84%

79.48%

81.97%

62.01%

84.20%

63.66%

85.14%

87.32%

87.90%

88.92%

80.41%

80.46%

53.92%

55.78%

1.83%

6.44%

7.92%

10.20%

31,222

27,339

26,485

27,400

29,845

27,285

23,218

22,254

29,667

30,197

27,399

21,745

26,237

26,575

31,380

23,615

22,790

16,580

26,255

32,190

24,908

31,967

20,096

25,170

28,106

25,865

26,369

25,533

32,615

26,536

28,926

28,117

24,414

31,311

29,330

25,508

35,135

22,565

27,041

25,013

21,731

24,509

22,895

24,938

27,004

30,345

26,628

-

-

-

-

29,032

29,033

29,044

29,050

29,203

29,235

29,243

29,303

29,324

29,327

29,348

29,486

29,610

29,624

29,873

31,850

32,104

32,574

34,041

35,471

35,576

35,786

35,953

19,088

19,239

19,518

19,669

20,885

22,340

22,627

22,824

23,207

23,544

23,652

23,843

24,591

24,804

25,260

25,464

25,542

26,197

26,369

26,676

16,083

16,092

16,176

16,735

915

3,221

3,962

5,100

4

4

4

4

4

4

4

4

4

4

4

4

4

4

4

4

4

4

4

4

4

4

4

3

3

3

3

3

3

3

3

3

3

3

3

3

3

3

3

3

3

3

3

2

2

2

2

1

1

1

1

Akram Abad

Ghuka

Khan Bela

Ranjhe Khan

Trinda Mohammad Panah

Jajja Abbassian

Bhota Wahan

Abad Pur

Drigra

Bhong

Hayat Lar

Kot Sanjar Khan

Ghana Lar

Chak No 010/abs

Mohammad Daha

Chak No 046/abs

Aman Garh

Chak No 045/p

Muhib Shah

Chak No 84/p

Bagho Bahar

Goth Jangoo

Roshan Bhaint

Mari Allah Bachaya

Aminabad

Garhi Ikhtiar Khan

Chak No 228/p

Haji Pur

Chak No 160/p

Rahim Yar Khan

Dufli Kabir Khan

Chak No 173/p

Ahmad Ali Lar

Chak No 042/abs

Amin Garh

Chak No 105/p

Machka

Bahishti

Chachran Sharif

Thul Khair Mohammad Khan

Chak No 139/p

Latki

Dinpur Sharif

Jhok Gulab Shah

Gul Mohammad Langah

Qadir Pur

Chak No 264/p

Dessert

Dessert

Dessert

Dessert

3

3

3

3

3

3

3

3

3

3

3

3

3

4

3

4

4

5

4

4

5

4

4

2

2

2

4

3

3

3

3

3

3

3

3

3

4

3

4

3

3

3

3

2

2

3

3

5

5

5

5

Tehsil Drought SeverityScore


(sq.km)

97

Drought Hazard Severity Score

No DroughtMildModerateSevereExtreme

12345

Food Insecurity Index

Food SecureMild Food SecureModeratly Food InsecureHighly Food InsecureSeverly Food Insecure

12345

FOOD SECURITY AGAINST FLOOD


AgriculturalArea

Exposed

AgriculturalLand

(sq.km)

PercentageAgricultural

LandExposed

TotalPopulation(Rural UCs)

FoodInsecurity

Khan Pur

Liaqat Pur

Rahim Yar Khan

Rahim Yar Khan

Liaqat Pur

Rahim Yar Khan

Khan Pur

Rahim Yar Khan

Sadiqabad

Liaqat Pur

Sadiqabad

Khan Pur

Rahim Yar Khan

Liaqat Pur

Liaqat Pur

Rahim Yar Khan

Liaqat Pur

Rahim Yar Khan

Sadiqabad

Rahim Yar Khan

Sadiqabad

Rahim Yar Khan

Sadiqabad

Rahim Yar Khan

Sadiqabad

Rahim Yar Khan

Liaqat Pur

Liaqat Pur

Sadiqabad

Liaqat Pur

Liaqat Pur

Liaqat Pur

194.45

87.91

85.43

92.58

87.33

74.55

108.16

60.17

110.03

47.78

61.60

72.85

58.89

37.13

92.26

71.35

108.12

75.58

102.83

71.81

239.47

94.77

81.58

65.04

90.01

228.77

46.72

45.86

41.53

40.37

42.53

48.05

123.78

69.00

72.99

79.74

66.44

63.47

46.77

37.36

78.98

33.44

45.86

58.62

48.93

30.86

64.79

43.68

77.94

24.17

33.64

39.75

85.84

0.04

0.14

0.17

0.33

2.59

2.91

4.68

5.94

8.71

10.76

13.57

123.79

69.00

79.59

85.16

66.44

63.47

58.32

58.04

107.56

44.58

57.80

69.42

57.52

35.50

74.19

49.67

87.00

72.69

94.03

69.29

148.49

79.65

78.26

63.01

87.04

112.49

43.82

43.78

40.48

39.08

38.38

46.77

100.00%

100.00%

91.71%

93.64%

100.00%

100.00%

80.20%

64.38%

73.43%

75.03%

79.34%

84.44%

85.07%

86.93%

87.33%

87.94%

89.59%

33.26%

35.78%

57.37%

57.81%

0.05%

0.18%

0.27%

0.38%

2.30%

6.63%

10.68%

14.68%

22.28%

28.04%

29.02%

27,041

24,414

26,209

26,458

28,926

25,013

30,345

26,956

30,197

31,667

31,321

31,220

22,254

28,312

24,938

25,533

27,004

30,846

27,902

28,256

35,135

18,738

33,491

19,057

27,281

26,369

30,928

22,679

23,218

26,485

24,459

29,845

40,000

40,000

27,512

28,092

29,999

30,000

32,079

19,313

22,029

22,508

23,802

25,331

25,521

26,080

26,200

26,383

26,876

9,977

10,733

17,210

17,342

9

53

54

114

691

1,326

3,204

4,405

6,684

8,413

8,705

5

5

4

4

4

4

4

3

3

3

3

3

3

3

3

3

3

2

2

2

2

1

1

1

1

1

1

1

1

1

1

1

Chachran Sharif

Ahmad Ali Lar

Shah Pur

Sherin

Dufli Kabir Khan

Thul Khair Mohammad K

Qadir Pur

Galour Massu Khan

Bhong

Dashti

Jamal Din Wali

Chandia

Abad Pur

Shaidani Sharif

Jhok Gulab Shah

Haji Pur

Gul Mohammad Langah U

Bahaudi Pur Qureshian

Nawazabad

Rajanpur

Machka

Chak No 51/p

Rahimabad

Murtaza Abad

Rasool Pur

Chak No 228/p

Jan Pur

Zaffar Abad

Bhota Wahan

Khan Bela

Chanjni

Trinda Mohammad Panah

4

4

3

3

3

3

4

3

3

3

3

3

3

3

3

3

3

3

3

3

3

2

3

2

3

3

2

3

3

3

3

3

TehsilFlood Hazard

Score(Riverine + Flash)


(sq.km)

98

Flood Hazard Severity Score

0.33.1 - 66.1 - 99.1 - 12t> 12

12345

Food Insecurity Index

Food SecureMild Food SecureModeratly Food InsecureHighly Food InsecureSeverly Food Insecure

12345

Cumulative Severity of both Riverine and Hill torrents/ Flash�oodshas been taken in account for the assessment.

Food Insecurity= (Hazard Severity) * (Percentage of Agriculture to Total Land ) *(Percentage of Agriculture Dependent Population to Total Population)

100

PopulationDensity

BuildingDensity

HealthFacilities

CommunicationTowers

MajorIndustries

Roads

EducationFacilities

Railway CriticalInfrastructure

E RISK ASSESSMENT

INTEGRATED RISK ASSESSMENTThe given study has employed Integrated Risk Assessment Model, as shown in the figure below, for the cumulative risk assessment of study district. The Model takes into account both quantitative and qualitative risk assessment approaches. The methodology is based on multi criteria evaluation as well as analytical hierarchy process. For this purpose, set of indicators for each risk factors have been carefully taken based on the availability as well as the specific context of the study district. In the given methodology four separate dimensions of risk are considered as “factor Components” i.e. hazard, exposure, vulnerability and capacity. To analyze the value of factor components, a combination of quantitative, qualitative and contextual indicators have be assigned to each factor component. Each factor consists of a sets of indicators which cover several aspects of risk. The Risk Index considered a total of 52 indicators to cover physical, economic, demographic, social, environmental and economic dimensions of risk. Specific weights have been assigned to each indicator in order to acutely calculate its impact on risk. The maximum sum of all the elements of weights and indicators can have minimize value of 100, whereas the minimum sum is 0. The risk formula used in the Study is given below:

Five classes have been devised to categorize risk between “No to Very Low” Risk to “Very High Risk”.

Risk= (Hazard x Vulnerability x Exposure / Capacity)

28

Disaster Risk Impact Factor

Hazard Exposure Vulnerability Capacity

SeverityProbability

Structures, Population,Economy,

Environmental etc

Physical, Social,Agriculture etc

CopingAdaptive, DRR

Earthquake Hazard Severity Score

3.0 - 3.9 Richter Scale4.0 - 4.9 Richter Scale5.0 - 5.9 Richter Scale6.0 - 6.9 Richter Scale7 more Richter Scale0 represents No Hazard

12345

Very LowLowModerateHighVery High

Flood Hazard Severity Score

0.33.1 - 66.1 - 99.1 - 12t> 120 represents No Hazard

Very LowLowModerateHighVery High

12345

Drought Hazard Severity Score

No DroughtMildModerateSevereExtreme0 represents No Hazard

Very LowLowMediumHighVery High

12345

Exposure Scoring Scale

12345

No to NegligibleLowMediumHighExtremely High

Vulnerabilty Scoring Scale

12345


Capacity Scoring Scale

12345


Risk Score Risk State

>4.1

3.1-4.0

2.1-3.0

1.1-2.0

0-1.0

Extremely High

High to very High

Moderate to High

Low to moderate

No to very Low

101

Risk = (Hazard x Exposure x Vulnerabilty/Capacity)

CAPACITY OVERALLFLOOD DROUGHT EARTHQUAKEFLOODYRP 100

DROUGHTEARTHQUAKE

YRP 475FLOOD DROUGHTFLOOD EXPOSURE EARTHQUAKE

3.002.002.002.004.002.002.003.002.001.002.002.004.002.002.002.002.002.003.003.002.004.003.002.002.002.002.002.003.002.004.004.003.002.002.003.002.004.004.004.004.004.002.002.002.002.001.002.002.002.003.001.002.002.002.002.002.004.001.003.002.002.002.003.002.000.003.002.001.002.002.002.002.003.003.003.003.002.003.003.004.003.00

3.003.003.003.003.003.003.003.003.003.003.003.003.003.003.003.003.003.003.003.003.003.003.003.003.003.003.003.003.003.003.003.003.003.003.003.003.003.003.003.003.003.003.003.003.003.003.003.003.003.003.003.003.003.003.003.003.003.003.003.003.003.003.003.003.003.003.003.003.003.003.003.003.003.003.003.003.003.003.003.003.003.00

0.001.000.004.000.000.000.000.000.000.000.000.000.001.000.002.001.000.005.000.000.000.000.000.000.000.000.000.001.000.000.000.000.002.001.000.001.000.000.000.000.000.000.000.003.001.000.000.000.000.000.002.002.000.000.002.001.000.002.000.001.000.000.000.000.000.003.000.000.000.000.000.000.000.000.000.001.000.000.001.000.000.00

0.631.001.000.881.501.001.131.131.501.251.250.880.881.130.751.130.751.251.001.381.500.750.880.880.751.001.001.250.881.131.000.381.131.001.131.131.001.000.630.630.382.251.381.001.001.131.001.001.131.001.250.631.131.001.251.131.001.130.631.131.001.131.131.250.880.751.130.880.881.251.251.001.251.131.001.381.251.131.251.381.001.25

0.671.001.000.671.000.671.331.331.331.331.670.671.001.000.671.330.671.001.001.332.000.670.671.000.671.001.001.331.001.001.330.331.331.001.331.331.001.000.330.670.332.331.670.671.001.001.001.331.001.331.000.671.331.331.331.001.001.330.671.001.001.331.001.331.001.001.001.001.001.331.001.001.331.001.331.001.331.331.331.331.331.33

2.502.001.752.252.251.751.751.252.002.001.501.501.502.251.502.502.502.002.002.002.001.252.002.002.001.502.252.002.252.001.751.252.002.001.751.502.251.501.251.001.253.001.252.252.502.001.501.501.502.002.002.252.751.501.752.502.001.752.251.251.751.502.001.251.751.252.752.001.501.501.501.751.752.001.752.252.251.501.502.503.002.00

3.503.003.003.003.502.502.502.003.003.002.002.502.003.002.503.503.503.002.503.003.002.003.003.003.002.503.503.003.003.002.002.003.002.502.502.503.002.502.001.502.004.002.003.503.502.502.002.002.503.003.003.003.502.502.503.502.502.503.002.002.502.503.002.002.502.004.003.002.502.502.503.002.503.002.503.503.502.502.503.504.003.00

3.502.001.502.502.502.002.001.002.502.502.501.502.502.501.502.502.502.502.502.502.501.502.502.502.501.502.502.002.502.001.501.002.502.501.501.502.501.001.001.001.004.001.502.503.002.002.002.001.502.502.002.503.501.502.502.502.002.502.501.501.501.502.001.502.501.003.002.501.501.501.501.502.002.002.002.002.001.501.502.004.502.50

1515111111111315215111111111111115214111111155111115511511511111115111111111111511

3222523332323224223442222233324442342444453232122331433325122323214213223344534554

3223423244423323243442332233332233223111153333222332424323222232314322223323322354

3324423233323324234332222233323334333222243244222333523423322222215222223333323543

3.003.003.003.003.003.003.003.003.003.003.003.003.003.003.003.003.003.003.003.003.003.003.003.003.003.003.003.003.003.003.003.003.003.003.003.003.003.003.003.003.003.003.003.003.003.003.003.003.003.003.003.003.003.003.003.003.003.003.003.003.003.003.003.003.003.003.003.003.003.003.003.003.003.003.003.003.003.003.003.003.003.00

178/7-RABAD PURADAM SOHABAAHMAD ALI LARAHMAD PUR LAMMAAKRAM ABADALLAH ABADAMAN GARHAMIN GARHAMINABADAZIM SHAHBADLI SHARIFBAGHO BAHARBAHAUDI PUR QURESHIANBAHISHTIBHONGBHOTA WAHANBULAQI WALICHACHRAN SHARIFCHAK NO 010/ABSCHAK NO 042/ABSCHAK NO 045/PCHAK NO 046/ABSCHAK NO 068/ABSCHAK NO 105/PCHAK NO 139/PCHAK NO 160/PCHAK NO 173/PCHAK NO 228/PCHAK NO 264/PCHAK NO 51/PCHAK NO 51/PCHAK NO 84/PCHANDIACHANJNIDARI AZIM KHANDASHTIDESSERTDESSERTDESSERTDESSERTDHANDIDINPUR SHARIFDRIGRADUFLI KABIR KHANGALOUR MASSU KHANGARHI IKHTIAR KHANGHANA LARGHAZI PURGHUKAGOTH JANGOOGUL MOHAMMAD LANGAH UHAJI PURHAYAT LARJAJJA ABBASSIANJAMAL DIN WALIJAN PURJETHA BHUTTAJHOK GULAB SHAHJHORANKHAN BELAKOT MEHNDI SHAHKOT SANJAR KHANKOTLA PATHANLATKILIAQUAT PUR CITYMACHKAMAD BAHORAMARI ALLAH BACHAYAMAU MUBARIKMIANWALI QURESHIANMIANWALI SHEIKHANMOHAMMAD DAHAMOHAMMAD PURMUEENABADMUHIB SHAHMURTAZA ABADNALA MUSANINAWAN KOTNAWAZABADNEEL GARHPAKKA LARAN

UNION COUNCILS

HAZARD EXPOSURE VULNERABILTY RISKCOPINGCAPACITY

29 RISK ASSESSMENT BY HAZARD TYPE

102

Risk = (Hazard x Exposure x Vulnerabilty/Capacity)

CAPACITY OVERALLFLOOD DROUGHT EARTHQUAKEFLOODYRP 100

DROUGHTEARTHQUAKE

YRP 475FLOOD DROUGHTFLOOD EXPOSURE EARTHQUAKE

2.002.002.002.002.002.003.003.003.002.002.002.002.003.002.002.002.002.001.002.002.00

3.003.003.003.003.003.003.003.003.003.003.003.003.003.003.003.003.003.003.003.003.00

4.000.001.001.000.001.000.000.000.000.002.001.002.000.002.000.000.001.001.000.001.00

0.882.251.251.251.001.131.130.631.131.001.000.881.001.251.001.131.251.130.380.881.13

0.672.331.331.331.001.001.000.671.001.001.000.671.001.331.001.331.331.330.331.001.33

2.003.501.502.251.001.501.751.501.001.752.502.252.501.752.252.001.502.251.502.252.00

3.004.501.503.001.001.502.002.001.003.003.503.003.503.003.503.002.503.002.003.502.50

2.003.501.502.251.001.501.751.501.001.752.502.252.501.752.252.001.502.251.502.252.00

511511111155515113111

252311221232343333133

254323423233322323133

343422322244434323133

3.003.003.003.003.003.003.003.003.003.003.003.003.003.003.003.003.003.003.003.003.00

QADIR PURRAHIM YAR KHANRAHIMABADRAJANPURRANJHE KHANRASOOL PURROSHAN BHAINTSADIQABADSANJARPURSEHJASHAH PURSHAIDANI SHARIFSHERINSONAKTHUL KHAIR MOHAMMAD KTIBBI GUL MOHAMMADTRINDA GURGAIJTRINDA MOHAMMAD PANAHUNKNOWNWAH KOHNAZAFFAR ABAD

UNION COUNCILS

HAZARD EXPOSURE VULNERABILTY RISKCOPINGCAPACITY

103

104

DROUGHT RISK Human-Made Disasters

Impacts

Indicators

Indices

Infant Mortality Rate

Irrigated Area

Irrigation Sources

Land Cover

Land Use

Land Use Planning

Landslide

Latitude

Longitude

Meander-Belt

Middle Schools

Mitigation

Monitoring & Evaluation (M&E)

Mortality Rate

Mouza / Deh

Multi Hazard Vulnerability and Risk Assessment (MHVRA)

Multi Hazards

National Authority

Natural Disasters

Nullah

Performance Indicator

Physical / Structural Vulnerability

Piedmont

Population Growth Rate

Population Projections

Precipitation

Preparedness

Prevention

Primary Healthcare

Primary School

Quality Assurance

Range Lands

Recovery

Relative Humidity

Reliability

Relief / Response

Residual Risk

Resilience

Retrofitting

Risk

Risk Assessment

Risk Management

Risk Transfer

River

Riverine Flood

Rural Area

Rural Health Centre (RHC)

Secondary Health Care

Secondary School or Higher School

Sedimentary Rocks

Slope Failure

Social Vulnerability

Steppe Climate

Storm Surge

Streambed

Structural / Non-Structural Measures

Sustainable Development

Tehsil Head Quarter (THQ)

Tertiary Healthcare

Tsunami

Unemployment

Urban Area

Urban Flood

Veterinary Facility

Vulnerability

Wet Areas

Wheat Procurement Centre

Acceptable Risk

Accountability

Activity

Adaptation

Affected Area

Alluvium Deposits

Avalanche

Average Household Size

Bare Area with Sparse Natural Vegetation

Bare Areas

Base-Line Study

Basic Health Unit (BHU)

Built-up Area

Capacity

Capacity Building

Census

Climate Change

Climatology

Coping Capacity

Craton

Critical Facilities

Crop Irrigated

Crop Marginal and Irrigated Saline

Crop Rainfed

Cyclone

Debris Flow

Demographics

Density

Disaster

Disaster Management

Disaster Risk

Disaster Risk Management (DRM)

Disaster Risk Reduction(DRR)

District Head Quarter (DHQ)

Drought

Early Warning

Earthquake

Effectiveness

Efficiency

Element at Risks

Elevation

Emergency Management

Employment

Entity

Eolian Deposits

Evaluation

Evaporites

Exposure

Flash Flood

Flood

Flood Plain Deposits

Food Insecurity

Forecast

Geography


Geology

Geospatial Data Bank

GLOF

Hazard

Hazard Analysis

Hill Torrent (Flood)

Household

Human-Induced Disasters

105

EARTHQUAKE RISK Human-Made Disasters

Impacts

Indicators

Indices


Irrigated Area

Irrigation Sources

Land Cover

Land Use

Land Use Planning

Landslide

Latitude

Longitude

Meander-Belt

Middle Schools

Mitigation


Mortality Rate

Mouza / Deh


Multi Hazards

National Authority

Natural Disasters

Nullah



Piedmont



Precipitation

Preparedness

Prevention

Primary Healthcare

Primary School

Quality Assurance

Range Lands

Recovery

Relative Humidity

Reliability

Relief / Response

Residual Risk

Resilience

Retrofitting

Risk

Risk Assessment

Risk Management

Risk Transfer

River

Riverine Flood

Rural Area




Sedimentary Rocks

Slope Failure


Steppe Climate

Storm Surge

Streambed




Tertiary Healthcare

Tsunami

Unemployment

Urban Area

Urban Flood

Veterinary Facility

Vulnerability

Wet Areas


Acceptable Risk

Accountability

Activity

Adaptation

Affected Area

Alluvium Deposits

Avalanche



Bare Areas

Base-Line Study


Built-up Area

Capacity

Capacity Building

Census

Climate Change

Climatology

Coping Capacity

Craton

Critical Facilities

Crop Irrigated


Crop Rainfed

Cyclone

Debris Flow

Demographics

Density

Disaster

Disaster Management

Disaster Risk




Drought

Early Warning

Earthquake

Effectiveness

Efficiency

Element at Risks

Elevation


Employment

Entity

Eolian Deposits

Evaluation

Evaporites

Exposure

Flash Flood

Flood


Food Insecurity

Forecast

Geography


Geology


GLOF

Hazard

Hazard Analysis


Household


106

FLOOD RISK Human-Made Disasters

Impacts

Indicators

Indices


Irrigated Area

Irrigation Sources

Land Cover

Land Use

Land Use Planning

Landslide

Latitude

Longitude

Meander-Belt

Middle Schools

Mitigation


Mortality Rate

Mouza / Deh


Multi Hazards

National Authority

Natural Disasters

Nullah



Piedmont



Precipitation

Preparedness

Prevention

Primary Healthcare

Primary School

Quality Assurance

Range Lands

Recovery

Relative Humidity

Reliability

Relief / Response

Residual Risk

Resilience

Retrofitting

Risk

Risk Assessment

Risk Management

Risk Transfer

River

Riverine Flood

Rural Area




Sedimentary Rocks

Slope Failure


Steppe Climate

Storm Surge

Streambed




Tertiary Healthcare

Tsunami

Unemployment

Urban Area

Urban Flood

Veterinary Facility

Vulnerability

Wet Areas


Acceptable Risk

Accountability

Activity

Adaptation

Affected Area

Alluvium Deposits

Avalanche



Bare Areas

Base-Line Study


Built-up Area

Capacity

Capacity Building

Census

Climate Change

Climatology

Coping Capacity

Craton

Critical Facilities

Crop Irrigated


Crop Rainfed

Cyclone

Debris Flow

Demographics

Density

Disaster

Disaster Management

Disaster Risk




Drought

Early Warning

Earthquake

Effectiveness

Efficiency

Element at Risks

Elevation


Employment

Entity

Eolian Deposits

Evaluation

Evaporites

Exposure

Flash Flood

Flood


Food Insecurity

Forecast

Geography


Geology


GLOF

Hazard

Hazard Analysis


Household


107

COMPOSITE RISK Human-Made Disasters

Impacts

Indicators

Indices


Irrigated Area

Irrigation Sources

Land Cover

Land Use

Land Use Planning

Landslide

Latitude

Longitude

Meander-Belt

Middle Schools

Mitigation


Mortality Rate

Mouza / Deh


Multi Hazards

National Authority

Natural Disasters

Nullah



Piedmont



Precipitation

Preparedness

Prevention

Primary Healthcare

Primary School

Quality Assurance

Range Lands

Recovery

Relative Humidity

Reliability

Relief / Response

Residual Risk

Resilience

Retrofitting

Risk

Risk Assessment

Risk Management

Risk Transfer

River

Riverine Flood

Rural Area




Sedimentary Rocks

Slope Failure


Steppe Climate

Storm Surge

Streambed




Tertiary Healthcare

Tsunami

Unemployment

Urban Area

Urban Flood

Veterinary Facility

Vulnerability

Wet Areas


Acceptable Risk

Accountability

Activity

Adaptation

Affected Area

Alluvium Deposits

Avalanche



Bare Areas

Base-Line Study


Built-up Area

Capacity

Capacity Building

Census

Climate Change

Climatology

Coping Capacity

Craton

Critical Facilities

Crop Irrigated


Crop Rainfed

Cyclone

Debris Flow

Demographics

Density

Disaster

Disaster Management

Disaster Risk




Drought

Early Warning

Earthquake

Effectiveness

Efficiency

Element at Risks

Elevation


Employment

Entity

Eolian Deposits

Evaluation

Evaporites

Exposure

Flash Flood

Flood


Food Insecurity

Forecast

Geography


Geology


GLOF

Hazard

Hazard Analysis


Household


108

Human-Made Disasters

Impacts

Indicators

Indices


Irrigated Area

Irrigation Sources

Land Cover

Land Use

Land Use Planning

Landslide

Latitude

Longitude

Meander-Belt

Middle Schools

Mitigation


Mortality Rate

Mouza / Deh


Multi Hazards

National Authority

Natural Disasters

Nullah



Piedmont



Precipitation

Preparedness

Prevention

Primary Healthcare

Primary School

Quality Assurance

Range Lands

Recovery

Relative Humidity

Reliability

Relief / Response

Residual Risk

Resilience

Retrofitting

Risk

Risk Assessment

Risk Management

Risk Transfer

River

Riverine Flood

Rural Area




Sedimentary Rocks

Slope Failure


Steppe Climate

Storm Surge

Streambed




Tertiary Healthcare

Tsunami

Unemployment

Urban Area

Urban Flood

Veterinary Facility

Vulnerability

Wet Areas


Acceptable Risk

Accountability

Activity

Adaptation

Affected Area

Alluvium Deposits

Avalanche



Bare Areas

Base-Line Study


Built-up Area

Capacity

Capacity Building

Census

Climate Change

Climatology

Coping Capacity

Craton

Critical Facilities

Crop Irrigated


Crop Rainfed

Cyclone

Debris Flow

Demographics

Density

Disaster

Disaster Management

Disaster Risk




Drought

Early Warning

Earthquake

Effectiveness

Efficiency

Element at Risks

Elevation


Employment

Entity

Eolian Deposits

Evaluation

Evaporites

Exposure

Flash Flood

Flood


Food Insecurity

Forecast

Geography


Geology


GLOF

Hazard

Hazard Analysis


Household



Impacts

Indicators

Indices


Irrigated Area

Irrigation Sources

Land Cover

Land Use

Land Use Planning

Landslide

Latitude

Longitude

Meander-Belt

Middle Schools

Mitigation


Mortality Rate

Mouza / Deh


Multi Hazards

National Authority

Natural Disasters

Nullah



Piedmont



Precipitation

Preparedness

Prevention

Primary Healthcare

Primary School

Quality Assurance

Range Lands

Recovery

Relative Humidity

Reliability

Relief / Response

Residual Risk

Resilience

Retrofitting

Risk

Risk Assessment

Risk Management

Risk Transfer

River

Riverine Flood

Rural Area




Sedimentary Rocks

Slope Failure


Steppe Climate

Storm Surge

Streambed




Tertiary Healthcare

Tsunami

Unemployment

Urban Area

Urban Flood

Veterinary Facility

Vulnerability

Wet Areas


The level of potential losses that a society or community considers acceptable given existing social, economic, political, cultural, technical and environmental conditions.

Obligation to demonstrate that work has been conducted in compliance with agreed rules and standards or to report fairly and accurately on performance results vis a vis mandated roles and/or plans. This may require a careful, even legally defensible, demonstration that the work is consistent with the contract terms.

Actions taken or work performed through which inputs, such as funds, technical assistance and other types of resources.

The adjustment in natural or human systems in response to actual or expected climatic stimuli or their effects, which moderates harm or exploits beneficial opportunities.

An area or part of country affected by disaster.

A deposit of clay, silt, and sand left by flowing floodwater in a river valley or delta, typically producing fertile soil.

An avalanche (also called a snow slide) is a rapid flow of snow down a sloping surface of a mountain. Avalanches are triggered due to mechanical failure of the snow when the forces on the snow exceed its cohesion strength.

Average Number of persons per household.

Sand Dunes with natural vegetation, bare rocks (with sparse vegetation) and desert flat pains are included in this class.

This class describes areas that have very less natural and manmade vegetation cover which include sand dunes and barren land.

An analysis describing the situation prior to a development intervention, against which progress can be assessed or comparisons made.

The BHU is located at a Union Council and serves a catchment population of up to 25,000. Services provided at BHU are promotive, preventive, curative and referral. BHU provides all PHC services along with in tegral services that include basic medical and surgical care. MCH services are also part of the services package being provided at BHU. BHU provides first level referral to patients referred by LHWs. BHU refers patients to higher level facilities as and when necessary.

It defines all built areas (urban, industrial, airport etc.) with all vegetated areas linked to the built-ups such as gardens, golf courses, urban recreation parks, plots devoted to urban expansion etc.

The combination of all the strengths, attributes and resources available within a community, society or organization that can be used to achieve agreed goals.

Efforts aimed to develop human skills or societal infrastructure within a community or organization needed to reduce the level of risk. In extended understanding, capacity building also includes development of institutional, financial, political and other resources, at different levels of the society.

Census is an official count or a survey, especially of a population.

(a) The Inter-governmental Panel on Climate Change (IPCC) defines climate change as: “a change in the state of the climate that can be identified (e.g., by using statistical tests) by changes in the mean and/or the variability of its properties, and that persists for an extended period, typically decades or longer. Climate change may be due to natural internal processes or external force or to persistent anthropogenic changes in the composition of the atmosphere or in land use”.

(b) The United Nations Framework Convention on Climate Change (UNFCCC) defines climate change as “a change of climate which is attributed directly or indirectly to human activity that alters the composition of the global atmosphere and which is in addition to natural climate variability observed over comparable time periods”.

Climatology or climate science is the scientific study of climate, scientifically defined as weather conditions averaged over a period of time.

The means by which people or organizations use available resources and abilities to face a disaster. In general, this involves managing resources, both in normal times as well as during crises or adverse conditions.

The term craton is used to distinguish the stable portion of the continental crust from regions that are more geologically active and unstable. Cratons can be described as shields, in which the basement rock crops out at the surface, and platforms, in which the

Acceptable Risk

Accountability

Activity

Adaptation

Affected Area

Alluvium Deposits

Avalanche



Bare Areas

Base-Line Study


Built-up Area

Capacity

Capacity Building

Census

Climate Change

Climatology

Coping Capacity

Craton

GLOSSARY OF TERMS Critical Facilities

Crop Irrigated


Crop Rainfed

Cyclone

Debris Flow

Demographics

Density

Disaster

Disaster Management

Disaster Risk




Drought

Early Warning

Earthquake

Effectiveness

Efficiency

Element at Risks

Elevation


Employment

Entity

Eolian Deposits

Evaluation

Evaporites

Exposure

Flash Flood

Flood


Food Insecurity

Forecast

Geography


Geology


GLOF

Hazard

Hazard Analysis


Household



Impacts

Indicators

Indices


Irrigated Area

Irrigation Sources

Land Cover

Land Use

Land Use Planning

Landslide

Latitude

Longitude

Meander-Belt

Middle Schools

Mitigation


Mortality Rate

Mouza / Deh


Multi Hazards

National Authority

Natural Disasters

Nullah



Piedmont



Precipitation

Preparedness

Prevention

Primary Healthcare

Primary School

Quality Assurance

Range Lands

Recovery

Relative Humidity

Reliability

Relief / Response

Residual Risk

Resilience

Retrofitting

Risk

Risk Assessment

Risk Management

Risk Transfer

River

Riverine Flood

Rural Area




Sedimentary Rocks

Slope Failure


Steppe Climate

Storm Surge

Streambed




Tertiary Healthcare

Tsunami

Unemployment

Urban Area

Urban Flood

Veterinary Facility

Vulnerability

Wet Areas


Acceptable Risk

Accountability

Activity

Adaptation

Affected Area

Alluvium Deposits

Avalanche



Bare Areas

Base-Line Study


Built-up Area

Capacity

Capacity Building

Census

Climate Change

Climatology

Coping Capacity

Craton

Critical Facilities

Crop Irrigated


Crop Rainfed

Cyclone

Debris Flow

Demographics

Density

Disaster

Disaster Management

Disaster Risk




Drought

Early Warning

Earthquake

Effectiveness

Efficiency

Element at Risks

Elevation

basement is overlaid by sediments and sedimentary rock.

The primary physical structures, technical facilities and systems which are socially, economically or operationally essential to the functioning of a society or community, both in routine circumstances and in the extreme circumstances of an emergency.

Areas used for the production of annual crops, such as corn, vegetables, soybeans, tobacco and cotton. This class also includes all land being actively tilled.

Crop marginal and irrigated saline are identified as those areas which are currently used for agriculture with low and unstable rainfall or higher rainfall areas intensively used, relative to user capability, under existing population densities, traditional technologies and institutional structures.

The term rainfed agriculture is used to describe farming practicesthat rely only on rainfall for water.

A large-scale system of winds that spiral in toward a region of low atmospheric pressure. Because low-pressure systems generally produce clouds and precipitation, cyclones are often simply referred to as storms. A tropical cyclone is one that forms over warm tropical waters. Such a system is characterized by a warm, well-defined core and can range in intensity from a tropical depression to a tropical cyclone. While tropical cyclones can produce extremely powerful winds and torrential rain, they are also able to produce high waves and damaging storm surge.

This is a phenomenon in which soil and rock on the hillside or in the riverbed are carried downward at a dash under the influence of continuous rain or torrential rain. It is the statistical data relating to the population and particular groups within it.

Density refers to number of elements (population, buildings, roads etc.) per unit area.

A catastrophe or a calamity in an affected area arising from natural or man-made causes or by accident which results in substantial loss of life or human suffering or damage to, and destruction of property.A serious disruption of the functioning of a community or a society involving widespread human, material, economic or environmental losses and impacts, which exceeds the ability of the affected community or society to cope using its own resources.

Managing the complete spectrum of disaster including preparedness, mitigation, response, recovery, relief and rehabilitation.

The potential disaster losses, in lives, health status, livelihoods, assets and services, which could occur to a particular community or a society over some specified future time period.

The systematic process of using administrative directives, organizations, and operational skills and capacities to implement strategies, policies and improved coping capacities in order to lessen the adverse impacts of hazards and the possibility of disaster.

The concept and practice of reducing disaster risks through systematic efforts to analyses and manage the causal factors of disasters, including through reduced exposure to hazards, lessened vulnerability of people and property, wise management of land and the environment, and improved preparedness for adverse events.

The District Head Quarters (DHQ) Hospital is located at District headquarters level and serves a population of 1 to 3 million, depending upon the category of the hospital. The DHQ hospital provides promotive, preventive, curative, advance diagnostics, inpatient services, advance specialist and referral services. All DHQ hospitals are supposed to provide basic and comprehensive care.

A drought is an extended period when an area notes a deficiency in its water supply when the demand for water exceeds the supply. Generally, this occurs when an area receives consistently below average precipitation. It can have a substantial impact on the ecosystem and agriculture of the affected region.

The provision of timely and effective information, through identified institutions, to communities and individuals so that they could take action to reduce their risks and prepare for effective response.

Earthquake is defined as shaking and vibration at the surface of the earth resulting from underground movement along a fault plane of from volcanic activity or due to movement of plate boundaries of the Earth. The scale of earthquakes is measured by moment magnitude and the shaking intensity at each location is usually reported by Mercalli intensity scale.

The extent to which the development intervention’s objectives were achieved, or are expected to be achieved, taking into account their relative importance.

A measure of how economically resources/inputs (funds, expertise, time, etc.) are converted to results.

Elements at Risk include all tangible (population, essential and critical infrastructure, building, crops and so on) and intangible elements (monetary values) that are at risk to any potential damage during extreme events.

The measurement of height of a surface above sea level or ground level.


Employment

Entity

Eolian Deposits

Evaluation

Evaporites

Exposure

Flash Flood

Flood


Food Insecurity

Forecast

Geography


Geology


GLOF

Hazard

Hazard Analysis


Household



Impacts

Indicators

Indices


Irrigated Area

Irrigation Sources

Land Cover

Land Use

Land Use Planning

Landslide

Latitude

Longitude

Meander-Belt

Middle Schools

Mitigation


Mortality Rate

Mouza / Deh


Multi Hazards

National Authority

Natural Disasters

Nullah



Piedmont



Precipitation

Preparedness

Prevention

Primary Healthcare

Primary School

Quality Assurance

Range Lands

Recovery

Relative Humidity

Reliability

Relief / Response

Residual Risk

Resilience

Retrofitting

Risk

Risk Assessment

Risk Management

Risk Transfer

River

Riverine Flood

Rural Area




Sedimentary Rocks

Slope Failure


Steppe Climate

Storm Surge

Streambed




Tertiary Healthcare

Tsunami

Unemployment

Urban Area

Urban Flood

Veterinary Facility

Vulnerability

Wet Areas


Acceptable Risk

Accountability

Activity

Adaptation

Affected Area

Alluvium Deposits

Avalanche



Bare Areas

Base-Line Study


Built-up Area

Capacity

Capacity Building

Census

Climate Change

Climatology

Coping Capacity

Craton

Critical Facilities

Crop Irrigated


Crop Rainfed

Cyclone

Debris Flow

Demographics

Density

Disaster

Disaster Management

Disaster Risk




Drought

Early Warning

Earthquake

Effectiveness

Efficiency

Element at Risks

Elevation


Employment

Entity

Eolian Deposits

Evaluation

Evaporites

Exposure

Flash Flood

Flood


Food Insecurity

Forecast

Geography


Geology


GLOF

Hazard

Hazard Analysis


Household


The management and deployment of resources for dealing with all aspects of emergencies, in particularly preparedness, response and rehabilitation.

The “employed” comprises all persons ten years of age and above who worked at least one hour during the reference period and were either “paid employed” or “self-employed”. Persons, employed on permanent/regular footings, who have not worked for any reason during the reference period are however, treated as employed.

Any government or non-government organization, national or international stakeholders including Federal, Provincial and District agencies and United Nations’ agencies relevant to Disaster Management as described in Section 23-2 [(a) and (d)] of NDM Act 2010, which is interested in the execution of MHVRA activity hereinafter referred to as Entity.

Eolian Deposits are the Wind-blown deposits on Planetary surface.

The systematic and objective assessment of an on-going or completed project, program or policy, its design, implementation and results. The aim is to determine the relevance and fulfillment of objectives, development efficiency, effectiveness, impact and sustainability. An evaluation should provide information that is credible and useful, enabling the incorporation of lessons learned into the decision making process of both recipients and donors.

Evaporites are individual minerals found in the sedimentary deposit of soluble salts that results from the evaporation of water.

People, property, systems, or other elements present in hazard zones that are subject to potential losses.

A flash flood is a phenomenon of rapid flooding (mostly less than 6 hours) of geomorphic low-lying areas due to downpour or heavy rains caused by low depression, climate front line (thunderstorm) or cyclone.

Flood is a phenomenon of inundation by water coming from a direct rainfall or river, drainage or other water bodies, such as lakes or seas due to overflowing from ordinary boundary between land and water or water surging. Floodplain deposits are also called as Alluvial Plain, flat land area adjacent to a stream, composed of unconsolidated sedimentary deposits (alluvium) and subject to periodic inundation by the stream.

The state of being without reliable access to a sufficient quantity of affordable and nutritious food.

Estimate of the occurrence of a future event (UNESCO, WMO). The term is used with different meanings in different disciplines. Geography is the study of the Earth and its features, its inhabitants, and its phenomena.

Geological composition is the fundamental unit of lithostratigraphy that contain certain amount of rock strata that have a comparable lithology, facies or other similar properties.

Geology is an earth science concerned with the solid Earth, the rocks of which it is composed and the processes by which they change over time.

Spatial Data and Geographic Information Management System (GIS) data relevant to disaster and the corresponding data integration in the form of geospatial data bank. In the context of disaster management, following types of data is required:i. Data on the disastrous phenomena (e.g. landslides, floods, earthquakes), their location, frequency, magnitude etc.ii. Data on the environment in which the disastrous events might take place: topography, geology, geomorphology, soils, hydrology, land use, vegetation etc.iii. Data on the elements that might be destroyed if the event takes place: infrastructure, settlements, population, socioeconomic data etc.iv. Data on the emergency relief resources, such as hospitals, fire brigades, police stations, warehouses etc.

“GLOF” refers to a Glacial Lake Outburst Flood that occurs when water in a glacier lake suddenly discharges due to a breach of a moraine dam (glacier lake). The results can be catastrophic to the downstream riparian area. (Richardson and Reynolds 2000).

A dangerous phenomenon, substance, human activity or condition that may cause loss of life, injury or other health impacts, property damage, loss of livelihoods and services, social and economic disruption, or environmental damage.

Identification, studies and monitoring of any hazard to determine its potential, origin, characteristics and behavior.

Hill torrent floods are basically a rapid flooding of geomorphic steep surface areas at alluvial cones or floodplain areas caused by overflowing water from channels due to rapid velocity and any amount of flow quantity.

A household is defined to be constituted of all those persons who usually live together and share their meals. A household may consist of one person or more than one person who may or may not be related to each other.

Natural disasters that are accelerated/ aggravated by human influence. A landslide, for example, may be purely natural, as a result of a heavy rainfall or earthquake, but it may also be human induced, as a result of an over steepened road-cut.


Impacts

Indicators

Indices


Irrigated Area

Irrigation Sources

Land Cover

Land Use

Land Use Planning

Landslide

Latitude

Longitude

Meander-Belt

Middle Schools

Mitigation


Mortality Rate

Mouza / Deh


Multi Hazards

Events which are caused by human activities (such as atmospheric pollution, industrial chemical accidents, major armed conflicts, nuclear accidents, oil spills etc.)

Positive and negative, primary and secondary long-term effects produced by a development intervention, directly or indirectly, intended or unintended.

Indicators are variables or parameters used to describe drought conditions. Examples include precipitation, temperature, streamflow, groundwater and reservoir levels, soil moisture, snowpack, etc.

Indices are typically a computed numerical representation of drought severity, assessed using climatic or hydro-meteorological inputs including the indicators listed above. In short, they aim to measure the qualitative state of drought on the landscape for a given time period. Indices are technically indicators as well. Monitoring the climate at various timescales allows identification of short-term wet periods within long-term droughts or short-term dry spells within long-term wet periods.

The number of deaths of infants under one year of age per 1000 live births in a given year.

Irrigated agricultural area refers to the area in which the moisture of soil is controlled for the better growth of seeds and better crop production by providing water through different mode of water supply such as rivers, major, minor or distributary canals, tube wells, wells, spraying or other water to the crops.

It refers to the source(s) by means of which the cultivated area is irrigated partially or wholly.

Land Cover is defined as the observed (bio) physical cover on the earth’s surface.

Land Use is characterized by the arrangements, activities and inputs that people undertake in a certain type of land in order to produce, change or maintain it.

The process undertaken by public authorities to identify, evaluate and decide on different options for the use of land, including consideration of long term economic, social and environmental objectives and the implications for different communities and interest groups, and the subsequent formulation and promulgation of plans that describe the permitted or acceptable uses. Land-use planning can help to mitigate disasters and reduce risks by discouraging high-density settlements and construction of key installations in hazard-prone areas, control of population density and expansion Mitigation Structural and non-structural measures undertaken to limit the adverse impact of natural hazards, environmental degradation and technological hazards.

A landslide is a phenomenon in which the movement of a mass of rock, debris, or earth down a slope due to gravity. The materials may move by falling, toppling, sliding, spreading, or flowing. Since a large amount of soil mass usually moves, serious damage can occur.

Latitude is a geographic coordinate that specifies the north–south position of a point on the Earth's surface. Latitude is an angle (defined below) which ranges from 0° at the Equator to 90° (North or South) at the poles.

Longitude is a geographic coordinate that specifies the east-west position of a point on the Earth's surface. It is an angular measurement, usually expressed in degrees

The part of a valley bottom across which a stream shifts its channel from time to time especially in flood.

Middle Schools are the schools that provide education from 5th to 8th grade.

The lessening or limitation of the adverse impacts of hazards and related disasters.

A continuing function that uses systematic collection of data on specified indicators to provide management and the main stakeholders of an ongoing development intervention with indications of the extent of progress and achievement of objectives and progress in the use of allocated funds.Number of deaths recorded in a population of particular region in a year.

It is a territorial unit with a separate name, definite boundaries, and area precisely measured and divided into plots / khasras / survey numbers. Each mouza is a revenue estate and has a cadastral map maintained in the land revenue record with a Hadbast Number except Sindh Province. Mouza, Deh, Village, Killi and Chak are the names commonly used for it. The term mouza / deh is widely used in the settled areas while the term village and or killi are used in the unsettled areas. There may be one or more settlements, abadies, basties, dhokes, goths, etc. in the territory of a mouza / deh. The mouzas / dehs may also have scattered inhabitation while there may be some mouzas without population as well.

Multi Hazard Vulnerability and Risk Assessment is a comprehensive study which intends to evaluate the expected vulnerabilities, risks and losses due to different hazardous events; both natural or man-induced.

The term Multi Hazards, as the name would suggest, are the hazards evolved from multiple sources, either inter-related or independent phenomena, and are subject to joint probability theory and analysis.

National Authority

Natural Disasters

Nullah



Piedmont



Precipitation

Preparedness

Prevention

Primary Healthcare

Primary School

Quality Assurance

Range Lands

Recovery

Relative Humidity

Reliability

Relief / Response

Residual Risk

Resilience

Retrofitting

Risk

Risk Assessment

Risk Management

Risk Transfer

River

Riverine Flood

Rural Area




Sedimentary Rocks

Slope Failure


Steppe Climate

Storm Surge

Streambed




Tertiary Healthcare

Tsunami

Unemployment

Urban Area

Urban Flood

Veterinary Facility

Vulnerability

Wet Areas


Acceptable Risk

Accountability

Activity

Adaptation

Affected Area

Alluvium Deposits

Avalanche



Bare Areas

Base-Line Study


Built-up Area

Capacity

Capacity Building

Census

Climate Change

Climatology

Coping Capacity

Craton

Critical Facilities

Crop Irrigated


Crop Rainfed

Cyclone

Debris Flow

Demographics

Density

Disaster

Disaster Management

Disaster Risk




Drought

Early Warning

Earthquake

Effectiveness

Efficiency

Element at Risks

Elevation


Employment

Entity

Eolian Deposits

Evaluation

Evaporites

Exposure

Flash Flood

Flood


Food Insecurity

Forecast

Geography


Geology


GLOF

Hazard

Hazard Analysis


Household



Impacts

Indicators

Indices


Irrigated Area

Irrigation Sources

Land Cover

Land Use

Land Use Planning

Landslide

Latitude

Longitude

Meander-Belt

Middle Schools

Mitigation


Mortality Rate

Mouza / Deh


Multi Hazards

National Authority

Natural Disasters

Nullah



Piedmont



Precipitation

Preparedness

Prevention

Primary Healthcare

Primary School

Quality Assurance

Range Lands

Recovery

Relative Humidity

Reliability

Relief / Response

Residual Risk

Resilience

Retrofitting

Risk

Risk Assessment

Risk Management

Risk Transfer

National Authority means National Disaster Management Authority (NDMA).

Events which are caused purely by natural phenomena such as earthquakes, floods, cyclones etc.

A Pakistani term, used for small rivers a streams carrying fresh water or sewerage disposal.

A variable that allows the verification of changes in the development intervention or shows results relative to what was planned.

The measure of the fragility structure, engineered or non-engineered, and its associated susceptibility to the natural stresses such as earthquake, flood etc.

Piedmont, in geology, landform created at the foot of a mountain or mountains by debris deposited by shifting streams.

The growth rate is the rate at which a population is increasing (or decreasing) in a given year.

Population Projections are estimates of population number typically based on an estimated population consistent with most recent decennial census and are produced using cohort-component method.

Precipitation is the water that falls from the clouds towards the ground, especially as rain or snow.

Activities and measures taken in advance to ensure effective response to the impact of hazards, including the issuance of timely and effective early warnings and the temporary evacuation of people and property from threatened locations.

Activities to ensure complete avoidance of the adverse impact of hazards.

The primary care facilities include Basic Health Units (BHUs) and Rural Health Centers (RHCs) mainly preventive, outpatient and basic inpatient care..A primary school is an education facility in which children receive primary or elementary education, coming after preschool and before secondary school.

Quality assurance encompasses any activity that is concerned with assessing and improving the merit or the worth of a development intervention or its compliance with given standards. Note: examples of quality assurance activities include appraisal, RBM, reviews during implementation, evaluations, etc.

Range Lands are vast natural landscapes grasslands, shrub lands and wood lands.

Decisions and actions taken after a disaster with a view to restoring or improving the pre-disaster living conditions of the stricken community, while encouraging and facilitating necessary adjustments to reduce disaster risk. The amount of water vapour present in air expressed as a percentage of the amount needed for saturation at the same temperature.

Consistency or dependability of data and evaluation judgments, with reference to the quality of the instruments, procedures and analyses used to collect and interpret evaluation data.

The provision of assistance during or immediately after a disaster to meet the life preservation and basic subsistence needs of those people affected. It can be of an immediate, short-term, or protracted duration.

The risk that remains in unmanaged form, even when effective disaster risk reduction measures are in place, and for which emergency response and recovery capacities must be maintained.

The ability of a system, community or society exposed to hazards to resist, absorb, accommodate to and recover from the effects of a hazard in a timely and efficient manner, including through the preservation and restoration of its essential basic structures and functions.

Reinforcement of existing buildings and structures to become more resistant and resilient to the forces of natural hazards.

The combination of the probability of an event and its negative consequences.

A methodology to determine the nature and extent of risk by analyzing potential hazards and evaluating existing conditions of vulnerability that together could potentially harm exposed people, property, services, livelihoods and the environment on which they depend.

The systematic approach and practice of managing uncertainty to minimize potential harm and loss.

The process of formally or informally shifting the financial consequences of particular risks from one party to another whereby a household, community, enterprise or state authority will obtain resources from the other party after a disaster occurs, in exchange for ongoing or compensatory social or financial benefits provided to that other party.

River

Riverine Flood

Rural Area




Sedimentary Rocks

Slope Failure


Steppe Climate

Storm Surge

Streambed




Tertiary Healthcare

Tsunami

Unemployment

Urban Area

Urban Flood

Veterinary Facility

Vulnerability

Wet Areas


Acceptable Risk

Accountability

Activity

Adaptation

Affected Area

Alluvium Deposits

Avalanche



Bare Areas

Base-Line Study


Built-up Area

Capacity

Capacity Building

Census

Climate Change

Climatology

Coping Capacity

Craton

Critical Facilities

Crop Irrigated


Crop Rainfed

Cyclone

Debris Flow

Demographics

Density

Disaster

Disaster Management

Disaster Risk




Drought

Early Warning

Earthquake

Effectiveness

Efficiency

Element at Risks

Elevation


Employment

Entity

Eolian Deposits

Evaluation

Evaporites

Exposure

Flash Flood

Flood


Food Insecurity

Forecast

Geography


Geology


GLOF

Hazard

Hazard Analysis


Household



Impacts

Indicators

Indices


Irrigated Area

Irrigation Sources

Land Cover

Land Use

Land Use Planning

Landslide

Latitude

Longitude

Meander-Belt

Middle Schools

Mitigation


Mortality Rate

Mouza / Deh


Multi Hazards

National Authority

Natural Disasters

Nullah



Piedmont



Precipitation

Preparedness

Prevention

Primary Healthcare

Primary School

Quality Assurance

Range Lands

Recovery

Relative Humidity

Reliability

Relief / Response

Residual Risk

Resilience

Retrofitting

Risk

Risk Assessment

Risk Management

Risk Transfer

River

Riverine Flood

Rural Area




Sedimentary Rocks

Slope Failure


Steppe Climate

Storm Surge

Streambed




Tertiary Healthcare

Tsunami

Unemployment

Urban Area

Urban Flood

A river is a natural waterway, usually freshwater, flowing toward lower level of water surface such as a lake, a sea, or another river.

Flood is a phenomenon of inundation by water coming from a river, drainage or other water bodies, such as lakes or seas due to overflowing from ordinary boundary between land and water or water surging.

A rural area is an open area that has very low population and building density. Generally rural areas are away from cities/towns and its inhabitants are mostly linked with agriculture based livelihood.

The RHCs have 10-20 inpatients beds and each serves a catchment population of up to 100,000 people. The RHC provides promotive, preventive, curative, diagnostics and referral services along with inpatient services. The RHC also provides clinical, logistical and managerial support to the BHUs, LHWs, MCH Centers, and Dispensaries that fall within its geographical limits. RHC also provides medico-legal, basic surgical, dental and ambulance services.

It is an intermediate level of health care that is concerned with the provision of specific technical, therapeutic or diagnostic services. It is the first referral level serving a district or a tehsil. Specialist consultation procedures and hospital admissions fall into this category of care. The role of a district hospital in primary health care has been expanded beyond being dominantly curative and rehabilitative to include promotional, preventive and educational roles as part of a primary health care approach.

Secondary Schools are the schools which provide education from grade 8 till Intermediate Level, i.e. 12th Grade or FSc.

Sedimentary rocks are types of rock that are formed by the deposition and subsequent cementation of that material at the Earth's surface and within bodies of water.

In this phenomenon, a slope abruptly collapses when the soil that has already been weakened by moisture in the ground loses its self-cohesiveness under the influence of rain or an earthquake. Due to sudden collapse, many people fail to escape if it occurs near a residential area, thus leading to a higher rate of fatalities.

Characteristics of social systems that create the potential for harm or loss to it

A semi-arid climate or steppe climate is the climate of a region that receives precipitation below potential evapotranspiration, but not as low as a desert climate.

A Storm Surge is phenomena of sea level rise associated with a low-pressure weather system, typically a tropical cyclone. Therefore, an early warning plan for “storm surge” should be incorporated with that of “cyclone”.

A stream bed is the channel bottom of a stream or river, the physical confine of the normal water flow

Structural measures refer to any physical construction to reduce or avoid possible impacts of hazards, which include engineering measures and construction of hazard-resistant and protective structures and infrastructure.Non-structural measures refer to policies, awareness, knowledge development, public commitment, and methods and operating practices, including participatory mechanisms and the provision of information, which can reduce risk and related impacts.

Development that meets the needs of the present without compromising the ability of future generations to meet their own needs. It contains within it two key concepts: the concept of "needs", in particular the essential needs of the world's poor, to which overriding priority should be given; and the idea of limitations imposed by the state of technology and social organization on the environment's ability to meet present and the future needs. (Brundtland Commission, 1987)

These hospitals are located at each THQ and serves a population of 0.5 to 1.0 million. At present majority of THQ hospitals have 40 to 60 beds. The THQ hospital provides promotive, preventive, curative, diagnostics, in patients, referral services and also specialist care. THQ hospitals are supposed to provide basic and comprehensive Emergency Obstetric and New born Care (EmONC). THQ hospital provides referral care to the patients including those referred by the Rural Health Centers, Basic Health Units, Lady Health Workers and other primary care facilities.

Tertiary care hospitals are located in the major cities for more specialized inpatient care. Tertiary care is specialized consultative health care, usually for inpatients and on referral from a primary or secondary health professional.

A tsunami is a series of waves in a water body caused by the displacement of a large volume of water, generally in an ocean or a large lake. Earthquakes, volcanic eruptions and other underwater explosions, landslides, avalanche, meteorite impacts and other disturbances above or below water all have the potential to generate a tsunami.

The “unemployed” comprises all the persons ten years of age and above who during the reference period were without work, currently available for work and are seeking work.

An Urban area is human settlement with high population density and infrastructure of built environment. Urban areas are created through urbanization and are categorized by urban morphology as cities, towns, conurbations and suburbs.

Flood and inundation phenomena occurring in the city or built-up areas.

Veterinary Facility

Vulnerability

Wet Areas


Acceptable Risk

Accountability

Activity

Adaptation

Affected Area

Alluvium Deposits

Avalanche



Bare Areas

Base-Line Study


Built-up Area

Capacity

Capacity Building

Census

Climate Change

Climatology

Coping Capacity

Craton

Critical Facilities

Crop Irrigated


Crop Rainfed

Cyclone

Debris Flow

Demographics

Density

Disaster

Disaster Management

Disaster Risk




Drought

Early Warning

Earthquake

Effectiveness

Efficiency

Element at Risks

Elevation


Employment

Entity

Eolian Deposits

Evaluation

Evaporites

Exposure

Flash Flood

Flood


Food Insecurity

Forecast

Geography


Geology


GLOF

Hazard

Hazard Analysis


Household



Impacts

Indicators

Indices


Irrigated Area

Irrigation Sources

Land Cover

Land Use

Land Use Planning

Landslide

Latitude

Longitude

Meander-Belt

Middle Schools

Mitigation


Mortality Rate

Mouza / Deh


Multi Hazards

National Authority

Natural Disasters

Nullah



Piedmont



Precipitation

Preparedness

Prevention

Primary Healthcare

Primary School

Quality Assurance

Range Lands

Recovery

Relative Humidity

Reliability

Relief / Response

Residual Risk

Resilience

Retrofitting

Risk

Risk Assessment

Risk Management

Risk Transfer

River

Riverine Flood

Rural Area




Sedimentary Rocks

Slope Failure


Steppe Climate

Storm Surge

Streambed




Tertiary Healthcare

Tsunami

Unemployment

Urban Area

Urban Flood

Veterinary Facility

Vulnerability

Wet Areas


It refers to the availability of veterinary facilities for livestock with qualified veterinarian (Doctor / Assistant) for provision of medical facilities for farm animals.

The characteristics and circumstances of a community, system or asset that make it susceptible to the damaging effects of a hazard.

Areas which are naturally covered with fresh or saline water such as river and lakes are grouped in this class.

These centres are established every year at the time of wheat harvest in surplus wheat producing areas particularly of the Punjab and Sindh provinces by the Provincial Food Departments and or Pakistan Agricultural Services and Storage Corporation (PASSCO) at appropriate locations. These centres are not permanent in nature and their number in a tehsil / district varies on year to year basis depending upon the procurement policy.

Acceptable Risk

Accountability

Activity

Adaptation

Affected Area

Alluvium Deposits

Avalanche



Bare Areas

Base-Line Study


Built-up Area

Capacity

Capacity Building

Census

Climate Change

Climatology

Coping Capacity

Craton

Critical Facilities

Crop Irrigated


Crop Rainfed

Cyclone

Debris Flow

Demographics

Density

Disaster

Disaster Management

Disaster Risk




Drought

Early Warning

Earthquake

Effectiveness

Efficiency

Element at Risks

Elevation


Employment

Entity

Eolian Deposits

Evaluation

Evaporites

Exposure

Flash Flood

Flood


Food Insecurity

Forecast

Geography


Geology


GLOF

Hazard

Hazard Analysis


Household



Impacts

Indicators

Indices


Irrigated Area

Irrigation Sources

Land Cover

Land Use

Land Use Planning

Landslide

Latitude

Longitude

Meander-Belt

Middle Schools

Mitigation


Mortality Rate

Mouza / Deh


Multi Hazards

National Authority

Natural Disasters

Nullah



Piedmont



Precipitation

Preparedness

Prevention

Primary Healthcare

Primary School

Quality Assurance

Range Lands

Recovery

Relative Humidity

Reliability

Relief / Response

Residual Risk

Resilience

Retrofitting

Risk

Risk Assessment

Risk Management

Risk Transfer

River

Riverine Flood

Rural Area




Sedimentary Rocks

Slope Failure


Steppe Climate

Storm Surge

Streambed




Tertiary Healthcare

Tsunami

Unemployment

Urban Area

Urban Flood

Veterinary Facility

Vulnerability

Wet Areas


Acceptable Risk

Accountability

Activity

Adaptation

Affected Area

Alluvium Deposits

Avalanche



Bare Areas

Base-Line Study


Built-up Area

Capacity

Capacity Building

Census

Climate Change

Climatology

Coping Capacity

Craton

Critical Facilities

Crop Irrigated


Crop Rainfed

Cyclone

Debris Flow

Demographics

Density

Disaster

Disaster Management

Disaster Risk




Drought

Early Warning

Earthquake

Effectiveness

Efficiency

Element at Risks

Elevation


Employment

Entity

Eolian Deposits

Evaluation

Evaporites

Exposure

Flash Flood

Flood


Food Insecurity

Forecast

Geography


Geology


GLOF

Hazard

Hazard Analysis


Household



Impacts

Indicators

Indices


Irrigated Area

Irrigation Sources

Land Cover

Land Use

Land Use Planning

Landslide

Latitude

Longitude

Meander-Belt

Middle Schools

Mitigation


Mortality Rate

Mouza / Deh


Multi Hazards

National Authority

Natural Disasters

Nullah



Piedmont



Precipitation

Preparedness

Prevention

Primary Healthcare

Primary School

Quality Assurance

Range Lands

Recovery

Relative Humidity

Reliability

Relief / Response

Residual Risk

Resilience

Retrofitting

Risk

Risk Assessment

Risk Management

Risk Transfer

River

Riverine Flood

Rural Area




Sedimentary Rocks

Slope Failure


Steppe Climate

Storm Surge

Streambed




Tertiary Healthcare

Tsunami

Unemployment

Urban Area

Urban Flood

Veterinary Facility

Vulnerability

Wet Areas


Acceptable Risk

Accountability

Activity

Adaptation

Affected Area

Alluvium Deposits

Avalanche



Bare Areas

Base-Line Study


Built-up Area

Capacity

Capacity Building

Census

Climate Change

Climatology

Coping Capacity

Craton

Critical Facilities

Crop Irrigated


Crop Rainfed

Cyclone

Debris Flow

Demographics

Density

Disaster

Disaster Management

Disaster Risk




Drought

Early Warning

Earthquake

Effectiveness

Efficiency

Element at Risks

Elevation


Employment

Entity

Eolian Deposits

Evaluation

Evaporites

Exposure

Flash Flood

Flood


Food Insecurity

Forecast

Geography


Geology


GLOF

Hazard

Hazard Analysis


Household


Assistant Medical Superintendent

Assistant Principal Women Medical Officer

Automatic Weather Observation

Automatic Weather Station

Communication & Works

Community Based Disaster Risk Management

Community-Based Early Warning System

Casualty Medical Officer

Composite Risk Index

Deputy Commissioner

District Coordination Officer

District Disaster Management Authority

District Disaster Risk Management Plan

Disease Early Warning System

District Headquarter Hospital

Disaster Management

Deputy Medical Superintendent

Disaster Risk Reduction

Deterministic Seismic Hazard Assessment

Ear, Nose, Throat

Expanded Program on Immunization

Early Warning System

Provincial Disaster Management Authority

Federal Flood Commission

Focus Group Discussion

Geographic Information System

Glacial Lake Outburst Flood

Ground Motion Prediction Equation

Government Officer Emergency Response Exercise

Global Positioning System

Geological Survey of Pakistan

Hyogo Framework for Action

Hydro-Thermal Coefficient

International Non-governmental Organizations

Land Surface Water Index

Monitoring and Evaluation

Main Boundary Thrust

Maximum Considered Earthquake

Millennium Development Goals

Multi Hazard Vulnerability and Risk Assessment

Main Karakorum Thrust

Main Mantle Thrust

Medical Officer

AMS

APWMO

AWO

AWS

C&W

CBDRM

CBEWS

CMO

CRI

DC

DCO

DDMA

DDRMP

DEWS

DHQ

DM

DMS

DRR

DSHA

ENT

EPI

EWS

PDMA

FFC

FGD

GIS

GLOF

GMPE

GOERE

GPS

GSP

HFA

HTC

INGOs

LSWI

M&E

MBT

MCE

MGDs

MHVRA

MKT

MMT

MO

LIST OF ACRONYMS

MOVERE

MPE

MS

MSSP

MM

NARC

NCEG

NDI

NDMA

NDMC

NDMP

NDMP-SC

NDRIS

NDVI

NDWI

NEOC

NFPP

NHA

NHEPRN

NIDM

PARC

PASSCO

PBC

PBS

PCIW

PCRWR

PDMA

PDSI

PGA

PHDI

PIPD

PMD

PMO

PMU

PRA

PSC

PSHA

PTA

PTCL

PTWC

PWMO

Mobilization of Volunteer for Emergency Response Exercise

Most Probable Earthquake

Medical Superintendent

Micro Seismic Study Program (Pakistan Atomic Energy

Commission)

Moment Magnitude

National Agricultural Research Center

National Center of Excellence in Geology

NOAA Drought Index

National Disaster Management Authority

National Disaster Management Commission

National Disaster Management Plan

Steering Committee for National Disaster Management Plan

National Disaster Risk Information System

Normalized Difference Vegetation Index

Normalized Difference Water Index

National Emergency Operations Centre

National Flood Protection Plan

National Highway Authority

National Health Emergency Preparedness and Response

Network

National Institute of Disaster Management

Pakistan Agricultural Research Council

Pakistan Agricultural Services and Storage Corporation

Pakistan Broadcasting Corporation

Pakistan Bureau of Statistics

Pakistan Commissioner for Indus Waters

Pakistan Center for Research on Water Resources

Provincial Disaster Management Authority

Palmer Drought Severity Index

Peak Ground Acceleration

Palmer Hydrological Drought Severity Index

Provincial Irrigation and Power Department

Pakistan Meteorological Department

Principal Medical Officer

Project Management Unit

Participatory Risk Assessment

Project Steering Committee

Probabilistic Seismic Hazard Assessment

Pakistan Telecommunication Authority

Pakistan Telecommunication Company Limited

Pacific Tsunami Warning Center

Principal Women Medical Officer


Impacts

Indicators

Indices


Irrigated Area

Irrigation Sources

Land Cover

Land Use

Land Use Planning

Landslide

Latitude

Longitude

Meander-Belt

Middle Schools

Mitigation


Mortality Rate

Mouza / Deh


Multi Hazards

National Authority

Natural Disasters

Nullah



Piedmont



Precipitation

Preparedness

Prevention

Primary Healthcare

Primary School

Quality Assurance

Range Lands

Recovery

Relative Humidity

Reliability

Relief / Response

Residual Risk

Resilience

Retrofitting

Risk

Risk Assessment

Risk Management

Risk Transfer

River

Riverine Flood

Rural Area




Sedimentary Rocks

Slope Failure


Steppe Climate

Storm Surge

Streambed




Tertiary Healthcare

Tsunami

Unemployment

Urban Area

Urban Flood

Veterinary Facility

Vulnerability

Wet Areas


Acceptable Risk

Accountability

Activity

Adaptation

Affected Area

Alluvium Deposits

Avalanche



Bare Areas

Base-Line Study


Built-up Area

Capacity

Capacity Building

Census

Climate Change

Climatology

Coping Capacity

Craton

Critical Facilities

Crop Irrigated


Crop Rainfed

Cyclone

Debris Flow

Demographics

Density

Disaster

Disaster Management

Disaster Risk




Drought

Early Warning

Earthquake

Effectiveness

Efficiency

Element at Risks

Elevation


Employment

Entity

Eolian Deposits

Evaluation

Evaporites

Exposure

Flash Flood

Flood


Food Insecurity

Forecast

Geography


Geology


GLOF

Hazard

Hazard Analysis


Household


R&D

RDMC

RP

SFDRR

SMA

SMDI

SMO

SMRFC

SOP

SoVI

SPEI

SPI

SPI

SPT

SRSI

SSFI

SSI

SUPARCO

SWI

SWMO

SWS

SWSI

SWSI

TCI

THQ

Research and Development

Regional Drought Monitoring Centre

Return Period

Sendai Framework for Disaster Risk Reduction

Soil Moisture Anomaly

Soil Moisture Deficit Index

Senior Medical Officer

Specialized Medium Range Forecasting Centre

Survey of Pakistan

Social Vulnerability Index

Standardized Precipitation Evapotranspiration

Standard Precipitation Index

Stream Power Index

Standard Penetration Test

Standardized Reservoir Supply Index

Standardized Stream Flow Index

Semi Structured Interviews

Pakistan Space and Upper Atmospheric Research Commission

Standardized Water-Level Index

Senior Women Medical Officer

Soil Water Storage

Surface Water Severity Index

Surface Water Supply Index

Temperature Condition Index

Tehsil Headquarter Hospital

TMA

UC

UN

VCI

VegDRI

VIC

WAPDA

WASA

WFP

WHO

WMO

WMO

WOE

WRF

Tehsil Municipal Administration

Union Council

United Nations

Vegetation Condition Index

Vegetation Drought Response Index

Variable Infiltration Capacity

Water and Power Development Authority

Water and Sanitation Agency

World Food Program

World Health Organization

World Meteorological Organization

Women Medical Officer

Weight of Evidence (Statistical Model)

Weather Research and Forecast (Name of Numerical

Calculation Model)

DATA TYPE DATA SOURCE

Directorate of Agriculture, Crop Reporting Service, Punjab, Lahore x(Development Statistics-2015)

Directorate of Livestock and Dairy Development (Ext.) Punjab,Lahore

Pakistan Telecommunication Authority (PTA)

Directorate of Agriculture, Crop Reporting Service, Punjab, Lahore.

Bureau of Statistics, Punjab, Lahore (2013-2014)

Multiple Indicator Cluster Survey (MICS) Punjab: 2011


PBS

Agriculture Department Punjab


Pakistan Social and Living Standard Measurement (PSLM): 2013-2014


http://www.Myweather2.Com/City-Town/Pakistan/Khushab/Climate-Profile.Aspxhttp://en.Climate-Data.Org/Location/3077/

Directorate of Agriculture Crop Reporting Service, Punjab, Lahore.

Space and Upper Atmosphere Research Commission (SUPARCO)

School Education Department, Government of Punjab

National Aeronautics and Space Administration (NASA)

Directorate of Poultry Research Institute, Punjab, Rawalpindi

National Disaster Management Authority (NDMA)

Geological Survey of Pakistan (GSP)

Health Department Punjab/ District Health Information System Punjab (Government Of Punjab)


District Officer ( E&IP), Khushab


NDMA

District Pre-Investment Study – 2012, Directorate Of Industries, Punjab Poonch House, Multan Road, Lahore.

2015 Projected

Agriculture Based Industries

Animals Slaughtered in Recognized and Un-rec-ognized Slaughter Houses by Type in the District

Annual Cellular Subscribers

Area Sown under Wheat, Rice, Cotton and Sugarcane in the District

Area Sown by Mode of Irrigation

Birth Registration

Broadband Subscribers by Technology


Canal System

Cellular Communication Towers

Child Delivery - Location and Type of Assistance

Child Statistics

Climatology

Diesel and Electric Tube wells Installed by Ownership

Distribution Of Land Use/ Land Cover (LU/LC)

Education Facilities

Elevation Bands

Establishment of Private Poultry Farms in the District (2013-14)


Geology

Health Facilities

Household Characteristics

Industries

Key Indicators - Child Mortality Statistics

Khushab City Land Use Map 2013

Landline Service

Literacy Rate- 2015

DATA SOURCES

Literacy Ratio

Major Industries

Metaled Roads Length By Type Zone and District

Mineral Productions

Motor Vehicles 'Registered' By Type

Number of Cattle, Sheep and Buffaloes in the District

Number of Registered Factories & Employment Level

Number of Work Animals by Type in the District (2006)

Percentage of children that have been immu-nized by Type of Antigen- Based on record and recall

Population

Population by Age Group, Gender and Rural /Urban

Population by Mother Tongue- 2015


Population on Basis of Religion-1998

Post-Natal consultations of the District

Railway Network

Sales of Fertilizer by year 2013-2014

Socio-Economic Statistics of The District Khushab (In Percentage)

Threshers and Harvesters in the District (2012-13)

Total tractors in the District by 2004 Census

Tractors by Make in District (2012-13)

Types Of Health Facility

Veterinary Institution in the District


Impacts

Indicators

Indices


Irrigated Area

Irrigation Sources

Land Cover

Land Use

Land Use Planning

Landslide

Latitude

Longitude

Meander-Belt

Middle Schools

Mitigation


Mortality Rate

Mouza / Deh


Multi Hazards

National Authority

Natural Disasters

Nullah



Piedmont



Precipitation

Preparedness

Prevention

Primary Healthcare

Primary School

Quality Assurance

Range Lands

Recovery

Relative Humidity

Reliability

Relief / Response

Residual Risk

Resilience

Retrofitting

Risk

Risk Assessment

Risk Management

Risk Transfer

River

Riverine Flood

Rural Area




Sedimentary Rocks

Slope Failure


Steppe Climate

Storm Surge

Streambed




Tertiary Healthcare

Tsunami

Unemployment

Urban Area

Urban Flood

Veterinary Facility

Vulnerability

Wet Areas


Acceptable Risk

Accountability

Activity

Adaptation

Affected Area

Alluvium Deposits

Avalanche



Bare Areas

Base-Line Study


Built-up Area

Capacity

Capacity Building

Census

Climate Change

Climatology

Coping Capacity

Craton

Critical Facilities

Crop Irrigated


Crop Rainfed

Cyclone

Debris Flow

Demographics

Density

Disaster

Disaster Management

Disaster Risk




Drought

Early Warning

Earthquake

Effectiveness

Efficiency

Element at Risks

Elevation


Employment

Entity

Eolian Deposits

Evaluation

Evaporites

Exposure

Flash Flood

Flood


Food Insecurity

Forecast

Geography


Geology


GLOF

Hazard

Hazard Analysis


Household


Agriculture Based Industries

Animals Slaughtered in Recognized and Un-rec-ognized Slaughter Houses by Type in the District

Annual Cellular Subscribers

Area Sown under Wheat, Rice, Cotton and Sugarcane in the District

Area Sown by Mode of Irrigation

Birth Registration

Broadband Subscribers by Technology


Canal System

Cellular Communication Towers

Child Delivery - Location and Type of Assistance

Child Statistics

Climatology

Diesel and Electric Tube wells Installed by Ownership

Distribution Of Land Use/ Land Cover (LU/LC)

Education Facilities

Elevation Bands

Establishment of Private Poultry Farms in the District (2013-14)


Geology

Health Facilities

Household Characteristics

Industries

Key Indicators - Child Mortality Statistics

Khushab City Land Use Map 2013

Landline Service

Literacy Rate- 2015

DATA TYPE DATA SOURCE

Literacy Ratio

Major Industries

Metaled Roads Length By Type Zone and District

Mineral Productions

Motor Vehicles 'Registered' By Type

Number of Cattle, Sheep and Buffaloes in the District

Number of Registered Factories & Employment Level

Number of Work Animals by Type in the District (2006)

Percentage of children that have been immu-nized by Type of Antigen- Based on record and recall

Population

Population by Age Group, Gender and Rural /Urban

Population by Mother Tongue- 2015


Population on Basis of Religion-1998

Post-Natal consultations of the District

Railway Network

Sales of Fertilizer by year 2013-2014

Socio-Economic Statistics of The District Khushab (In Percentage)

Threshers and Harvesters in the District (2012-13)

Total tractors in the District by 2004 Census

Tractors by Make in District (2012-13)

Types Of Health Facility

Veterinary Institution in the District


District Officer( E&IP), Khushab

Planning & Design Directorate, Punjab Highway Department, Lahore.

Directorate General, Mines and Minerals, Punjab, Lahore. (Development Statistics-2015)

Additional Director General, Excise & Taxation, Punjab, Lahore.

Source:-Census of Agriculture 2000 & 2010- Census of Livestock 1996 & 2006

Bureau of Statistics, Punjab, Lahore

2006 Census of Livestock, Agricultural Census Organization, Pakistan Bureau of Statistics

Pakistan Social And Living Standard Measurement Survey (PSLM) 2013-2014

Population Census 1998, Population Census Organization, Government of Pakistan. Projections were calculated on the basis of the Inter-Census Growth Rate for the two Censuses Of 1981 And 1998, and do not factor in changing Fertility And Migration Patterns.

Population Census 1998

2015 Projected

Pakistan Bureau Of Statistics (Population Census 1998, Population Census Organization, Government Of Pakistan. Projections Were Calculated On The Basis Of The Inter-Census Growth Rate For The Two Censuses Of 1981 And 1998, And Do Not Factor In Changing Fertility Patterns)

1998 Census


Punjab Development Statistics 2011 / Respective District Offices

Director General Agriculture, Punjab, Lahore


Directorate of Agriculture Crop Reporting Service, Punjab, Lahore.

2004 Agricultural Census Wing & Pakistan Bureau of Statistics, Government of Pakistan, Lahore)

Directorate of Agriculture Crop Reporting Service, Punjab, Lahore

Health Department Punjab

Department Of Livestock & Dairy Development, Khushab


Impacts

Indicators

Indices


Irrigated Area

Irrigation Sources

Land Cover

Land Use

Land Use Planning

Landslide

Latitude

Longitude

Meander-Belt

Middle Schools

Mitigation


Mortality Rate

Mouza / Deh


Multi Hazards

National Authority

Natural Disasters

Nullah



Piedmont



Precipitation

Preparedness

Prevention

Primary Healthcare

Primary School

Quality Assurance

Range Lands

Recovery

Relative Humidity

Reliability

Relief / Response

Residual Risk

Resilience

Retrofitting

Risk

Risk Assessment

Risk Management

Risk Transfer

River

Riverine Flood

Rural Area




Sedimentary Rocks

Slope Failure


Steppe Climate

Storm Surge

Streambed




Tertiary Healthcare

Tsunami

Unemployment

Urban Area

Urban Flood

Veterinary Facility

Vulnerability

Wet Areas


Acceptable Risk

Accountability

Activity

Adaptation

Affected Area

Alluvium Deposits

Avalanche



Bare Areas

Base-Line Study


Built-up Area

Capacity

Capacity Building

Census

Climate Change

Climatology

Coping Capacity

Craton

Critical Facilities

Crop Irrigated


Crop Rainfed

Cyclone

Debris Flow

Demographics

Density

Disaster

Disaster Management

Disaster Risk




Drought

Early Warning

Earthquake

Effectiveness

Efficiency

Element at Risks

Elevation


Employment

Entity

Eolian Deposits

Evaluation

Evaporites

Exposure

Flash Flood

Flood


Food Insecurity

Forecast

Geography


Geology


GLOF

Hazard

Hazard Analysis


Household



Impacts

Indicators

Indices


Irrigated Area

Irrigation Sources

Land Cover

Land Use

Land Use Planning

Landslide

Latitude

Longitude

Meander-Belt

Middle Schools

Mitigation


Mortality Rate

Mouza / Deh


Multi Hazards

National Authority

Natural Disasters

Nullah



Piedmont



Precipitation

Preparedness

Prevention

Primary Healthcare

Primary School

Quality Assurance

Range Lands

Recovery

Relative Humidity

Reliability

Relief / Response

Residual Risk

Resilience

Retrofitting

Risk

Risk Assessment

Risk Management

Risk Transfer

River

Riverine Flood

Rural Area




Sedimentary Rocks

Slope Failure


Steppe Climate

Storm Surge

Streambed




Tertiary Healthcare

Tsunami

Unemployment

Urban Area

Urban Flood

Veterinary Facility

Vulnerability

Wet Areas


Acceptable Risk

Accountability

Activity

Adaptation

Affected Area

Alluvium Deposits

Avalanche



Bare Areas

Base-Line Study


Built-up Area

Capacity

Capacity Building

Census

Climate Change

Climatology

Coping Capacity

Craton

Critical Facilities

Crop Irrigated


Crop Rainfed

Cyclone

Debris Flow

Demographics

Density

Disaster

Disaster Management

Disaster Risk




Drought

Early Warning

Earthquake

Effectiveness

Efficiency

Element at Risks

Elevation


Employment

Entity

Eolian Deposits

Evaluation

Evaporites

Exposure

Flash Flood

Flood


Food Insecurity

Forecast

Geography


Geology


GLOF

Hazard

Hazard Analysis


Household


Developed byProject Management Unit (PMU),

National Disaster Management Authority,Prime Minister’s Office, 2nd Floor, Sector G-5/1

Constitution Avenue, Islamabad - Pakistanwww.ndma.gov.pk


Impacts

Indicators

Indices


Irrigated Area

Irrigation Sources

Land Cover

Land Use

Land Use Planning

Landslide

Latitude

Longitude

Meander-Belt

Middle Schools

Mitigation


Mortality Rate

Mouza / Deh


Multi Hazards

National Authority

Natural Disasters

Nullah



Piedmont



Precipitation

Preparedness

Prevention

Primary Healthcare

Primary School

Quality Assurance

Range Lands

Recovery

Relative Humidity

Reliability

Relief / Response

Residual Risk

Resilience

Retrofitting

Risk

Risk Assessment

Risk Management

Risk Transfer

River

Riverine Flood

Rural Area




Sedimentary Rocks

Slope Failure


Steppe Climate

Storm Surge

Streambed




Tertiary Healthcare

Tsunami

Unemployment

Urban Area

Urban Flood

Veterinary Facility

Vulnerability

Wet Areas


Acceptable Risk

Accountability

Activity

Adaptation

Affected Area

Alluvium Deposits

Avalanche



Bare Areas

Base-Line Study


Built-up Area

Capacity

Capacity Building

Census

Climate Change

Climatology

Coping Capacity

Craton

Critical Facilities

Crop Irrigated


Crop Rainfed

Cyclone

Debris Flow

Demographics

Density

Disaster

Disaster Management

Disaster Risk




Drought

Early Warning

Earthquake

Effectiveness

Efficiency

Element at Risks

Elevation


Employment

Entity

Eolian Deposits

Evaluation

Evaporites

Exposure

Flash Flood

Flood


Food Insecurity

Forecast

Geography


Geology


GLOF

Hazard

Hazard Analysis


Household


Rahimyar Khan Atlas 1 - NDMA

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