District SDG Scorecard– Khyber Pakhtunkhwa

District SDG Scorecard– Khyber Pakhtunkhwa: Comparative Analysis

Planning and Development Department

Government of Khyber Pakhtunkhwa

Sustainable Development Goals

Support Unit

Sustainable Development Unit

The purpose of the District SDGs Scorecard is to provide a high-level overview

of district wise performance on district relevant SDGs indicators. The

scorecard will be helpful in portraying district wise performance and

identifying areas of improvement.


1 | P a g e

District SDG Scorecard

1. Introduction:

Among others, one of the significant lessons learnt from the sluggish progress on MDGs was its

centrality at state level and the absence of effort for localization. With the adoption of SDGs by

Government of Pakistan, efforts were made on the onset to take the SDGs agenda to

provincial/regional levels. This process of localization is the key to achieve Sustainable Development

Goals.

The localization process makes it imperative to formulate effective policies, design plans and allocate

resources optimally for achieving SDGs. This, however, requires identifying challenges, potential

comparative advantages, and the accelerators at the lowest possible administrative level i.e.

Province/District/Tehsil/Village Council.

This in view, the SDGs Support Unit undertook the exercise of mapping the standing of Districts on

SDGs indicators to the extent data permitted with the objectives to:

I. Use data and discover development challenges and support informed policy decisions making.

II. Monitor the progress on SDGs to inform further actions at district level.

III. Comparative analysis of districts to identify district-wise socio-economic disparities.

IV. Support optimal resource allocation.

The methodology adopted included:

I. Collection of District Level data on all available SDG indicators from official data sources

covering surveys like PSLM and MICS, and administrative data around the base year for SDGs

i.e. 2015

II. Decomposing different variables of the data sources for estimation and computation of

indicators, considering the SDG metadata

2. Outcome of the process:

The process resulted in establishing the district SDGs scorecard reflecting on individual district

standing on 33 SDGs indicators.

3. Possible Usages:

The District SDGs Scorecard can be used to:

• Identify challenges, opportunities, strengths, and weaknesses at District and regional level

• Address the root causes of situation around specific SDGs indicators.

• Inform policy decisions and resource allocation for the uplift of Districts through adoption of

the scorecard by District administration, Chiefs of Section – P&D Department and the Planning

Cells of line Departments as a base document for the preparation of ADP.


2 | P a g e

• Address several anomalies in data collection and data reporting system identified during the

development of the scorecard.

• Address regional socio-economic disparities, for example, southern, northern and central

regions.

• Identify best practices from districts performing well on various SDGs indicators and

replicate/customize the same approach for implementation in other districts.

• Reshape district level plans and policies to identify and shortlist priority areas of future

interventions


3 | P a g e

4. Comparative Analysis of District Wise Performance on SDGs indicators:

Goal-1: End poverty in all its forms everywhere

Target 1.2: By 2030, reduce at least by half the proportion of men, women and children of

all ages living in poverty in all its dimensions according to national definitions.

Indicator 1.2.2: Proportion of men, women and children of all ages living in poverty in all its

dimensions according to national definitions.

Indicator

Definition

The MPI weighs ten indicators of deprivation in the context of education, health

and living standards. Individuals are considered poor if deprived in at least one

third of the weighted indicators

Better-Off &

Worse-Off

Districts/regions

District Haripur stood first in the ranking in the entire Province, where 24.7 % of

the people living in the district are MPI Poor (Multi-Dimensional Poverty Index).

District Kohistan of the region is the worse-off district in the entire province and

placed at rank No. 25, where 95.8 % people are MPI Poor.

Kohat in the Southern region is the Better-Off district owing rank 12 in the

province with 47.5 %, whereas District Tank is the Worse-Off district in the region

having rank 19 and 71.1% MPI Poor. In the Central region, District Peshawar and

Charssada are placed at rank No. 2 with 31.5 % and 11 with 44.6 % MPI poor,

respectively. District Malakand, having rank 4 with 37.1 % MPI poor leads the

Northern region and Shangla is the worse-off district, placed at rank No. 23 with

80.2 % statistic.

Source: PSLM 2014-15


4 | P a g e


5 | P a g e


Target 1.4:

By 2030, ensure that all men and women, in particular the poor and the

vulnerable, have equal rights to economic resources, as well as access to basic

services, ownership and control over land and other forms of property,

inheritance, natural resources, appropriate new technology and financial

services, including microfinance.

Indicator 1.4.1: Proportion of population living in households with access to basic services.

“The share of the population with access to clean electricity”

Indicator Definition The term Basic services include improved drinking water, sanitation,

electricity, and clean cooking fuels. Here share of electricity is reported.

Better-Off &

Worse-Off

Districts/regions

District Chitral of the Northern region leads the region vis-à-vis province,

placed at Rank No. 1, where 99.8% and District Buner having rank 23 with 88.5%

of the people possess access to clean electricity and is the Worse-Off district

in the region. District Torghar of the Hazara is the Worse-Off district in the

entire province and placed at rank No. 25 with 68.48 % statistic, whereas

District Abbottabad with 98.69% owns rank 7.

Bannu in the Southern region is the Better-Off district owing rank 4 in the

province with 99.57 %, whereas District Karak is the Worse-Off district having

rank 20 with 91.6%. In the Central region, District Charssada and Peshawar are

placed at rank No. 2 with 99.6 % and 10 with 98.3 %, respectively.



6 | P a g e


7 | P a g e


Target 1.4:


vulnerable, have equal rights to economic resources, as well as access to basic

services, ownership and control over land and other forms of property,

inheritance, natural resources, appropriate new technology and financial

services, including microfinance.

Indicator 1.4.1: Proportion of population living in households with access to basic services.

“The share of the population with access to improved sanitation facilities”

Indicator Definition

By adequate sanitation services means population using a basic sanitation

facility which is not shared with other households and where excreta are

safely disposed in situ or treated off-site. Handwashing facilities consist of a

device to contain or regulate water flow to facilitate handwashing with soap.

Better-Off & Worse-

Off Districts/regions

District Chitral of the Northern belt leads the region, placed at Rank No. 3,

where 88 % and District Buner having rank 21 with 56% of the people possess

access to improved sanitation facilities and is the Worse-Off district in the

region. District Kohistan of the Hazara is the Worse-Off district in the entire

province and placed at rank No. 25 with 44% statistic, whereas District Haripur

with 90% is the Better-Off district in the entire province.


province with 70%, whereas District Tank is the Worse-Off district having rank

23 with 44%. In the Central region, District Peshawar and Charssada are placed

at rank No. 4 with 88% and 13 with 75%, respectively.



8 | P a g e


9 | P a g e


Target 1.4:


vulnerable, have equal rights to economic resources, as well as access to

basic services, ownership and control over land and other forms of

property, inheritance, natural resources, appropriate new technology and

financial services, including microfinance.

Indicator 1.4.1:

Proportion of population living in households with access to basic

services. “The share of the population with access to improved water

sources”

Indicator Definition A safely managed drinking water service is defined as one located on

premises, available when needed and free from contamination.

Better-Off & Worse-


District Chitral of the Northern belt leads the region, placed at Rank No. 4,

where 77 % and District Dir Upper having rank 24 with 32% of the people

possess access to improved water sources and is the Worse-Off district in

the region. District Kohistan of the Hazara is the Worse-Off district in the

entire province and placed at rank No. 25 with 8 % statistic, whereas

District Abbottabad with 81 % is the Better-Off district in the region and

placed at Rank 2. Bannu of the Southern region is the Better-Off district in

the entire province district owing rank 1 with 83 %, whereas District

D.I.Khan is the Worse-Off district having rank 23 with 41 %. In the Central

region, District Mardan and Charssada are placed at rank No. 5 with 74%

and 20 with 48 %, respectively.



10 | P a g e


11 | P a g e


Target 1.4:




property, inheritance, natural resources, appropriate new technology

and financial services, including microfinance.

Indicator 1.4.1:

Proportion of population living in households with access to basic

services. “The share of the population with access to clean fuels for

cooking”

Indicator Definition Clean energy means have been defined under 7.2.1

Better-Off & Worse-


District Peshawar of the Central belt leads the region vis-à-vis province,

placed at Rank No. 1, where 73.3 % and District Swabi having rank 11 with

20.9% of the people possess access to clean fuels for cooking and is the

Worse-Off district in the region. District Kohistan of the Hazara is the

Worse-Off district in the entire province and placed at Rank No. 22 with

0.07% statistic, whereas District Haripur with 41.1% is the Better-Off district

in the region and placed at Rank 4.

Karak of the Southern region is the Better-Off district in the region owing

rank 3 with 42.7%, whereas District Tank is the Worse-Off district having

rank 17 with 3.7%. In the Northern region, District Malakand and Buner are

placed at rank No. 9 with 25.7% and 21 with 0.1%, respectively.

Data for District Dir (Lower & Upper) and Torghar is not available



12 | P a g e


13 | P a g e


Target 1.4:




property, inheritance, natural resources, appropriate new technology

and financial services, including microfinance.

Indicator 1.4.2:

Proportion of total adult population with secure tenure rights to land,

with legally recognized documentation and who perceive their rights to

land as secure, by sex and by type of tenure.


All segments of the society have equal rights to economic resources, as

well as access to ownership of and control over land and other forms

property, resources, and inheritance.

Better-Off & Worse-


District Chitral leads the province with a value of 97.53% followed by

District Karak with 96.6%. District Peshawar is worst performing district

both in the province as well in the division with only 73.62% population

having secure tenure rights to land. Among the worst performing districts

the second in row is Buner with a value of 78.98%. In Peshawar division

the best forming district is Nowshera where 89.87% population has access

to secure tenure to land. District Swabi leads the Mardan Division with a

value of 92.5% and ranks 7th in the province. District Battagram is the

worst performing district in the Hazara Division and is placed at Rank No.

18 provincially with 84.39 %, whereas District Torghar with 95.68 % is the

Better-Off district in the Division and placed at Rank 3 in the province.

D.I.Khan with a score of 93.85% is placed at 6th position and is the best

performing district in the Division.



14 | P a g e


15 | P a g e

SDG-2: End hunger, achieve food security and improved nutrition and promote sustainable agriculture

Target 2.2:

By 2030, end all forms of malnutrition, including achieving, by 2025, the

internationally agreed targets on stunting and wasting in children under 5

years of age, and address the nutritional needs of adolescent girls,

pregnant and lactating women and older persons.

Indicator 2.2.1:

Prevalence of stunting (height for age <-2 standard deviation from the

median of the World Health Organization (WHO) Child Growth Standards)

among children under 5 years of age.


Prevalence of stunting (height-for-age <-2 standard deviation from the

median of the World Health Organization (WHO) Child Growth Standards)

among children under 5 years of age.

Better-Off & Worse-


District Haripur stood first in the entire Province, where the prevalence of

stunting in the under 5-year age children is 24.1 %. District Kohistan of the

Hazara region is placed at rank No. 24(2nd last Worse-Off), where data

against the indicator is 59.4.8 %.Kohat in the Southern region is the Better-

Off district and rank 4 in the province with 35.6 %, whereas D.I.Khan is the

Worse-Off district in the region having Rank 18 with 45.8 %. In the Central

region, District Mardan and Nowshera are placed at rank No. 2 with 34.3 %

and 16 with 45.3 %, respectively. District Swat, having rank 8 with 36.9 %

leads the Northern region and Shangla is the Worse-Off district in the entire

province, placed at rank No. 25 with 78.7 % statistic.

Source: MICS 2016-17


16 | P a g e


17 | P a g e

SDG-2: End hunger, achieve food security and improved nutrition and promote sustainable agriculture

Target 2.2:

By 2030, end all forms of malnutrition, including achieving, by 2025, the

internationally agreed targets on stunting and wasting in children under 5

years of age, and address the nutritional needs of adolescent girls,

pregnant and lactating women and older persons.

Indicator 2.2.2:

Prevalence of malnutrition (weight for height >+2 or <-2 standard deviation

from the median of the WHO Child Growth Standards) among children

under 5 years of age, by type (wasting and overweight).


The share of children younger than five who are 'wasted' – whose weight

is significantly lower than the average for their height, as a consequence of

acute food shortage or disease.

Better-Off & Worse-


District Chitral of the Northern belt leads the entire province, placed at

Rank No. 1, and District Dir Upper at rank 23 is the lowest in the region,

where prevalence of malnutrition in under 5 years of age children are 2.5%

and 13.5% respectively. In district Kohistan of the Hazara is the Worse-Off

district in the entire province, placed at rank No. 25 with 17.2%, whereas

District Abbottabad with 6.1 % is the Better-Off district in the region and

placed at Rank 9.


province with 2.6 %, whereas D.I.Khan is the Worse-Off district in the region

having Rank 20 with 10.8 %. In the Central region, District Mardan and

Peshawar are placed at rank No. 5 with 4.3 % and 22 with 13.2 %, respectively.



18 | P a g e


19 | P a g e

SDG-2: End hunger, achieve food security and improved nutrition and promote sustainable

agriculture

Target 2.4:

By 2030, ensure sustainable food production systems and implement

resilient agricultural practices that increase productivity and production,

that help maintain ecosystems, that strengthen capacity for adaptation to

climate change, extreme weather, drought, flooding and other disasters

and that progressively improve land and soil quality.

Indicator 2.4.1: Proportion of agricultural area under productive and sustainable

agriculture.


The indicator is not well defined. However, rough definition of the

indicator is agricultural land area of the farms that satisfy sustainability

criteria across all three dimensions. i.e., Environment, Economic and Social

Better-Off & Worse-


District Malakand of the Northern belt leads the entire province, placed at

Rank No. 1 with 98% area under productive agriculture, followed by Mardan

District with 75%. By region District Chitral is the worse-off district in the

northern region where agriculture area under productive agriculture is

only 23%.

Kohistan of Hazara Division is the worst performing district only 5% area

under productive agriculture followed by Tank as second worst

performing district with 13%. District Haripur with 45 % is the Better-Off

district in Hazara Division and placed at Rank.

In the southern region Bannu is the Better-Off district and rank 14 in the

province with 29 %, whereas Tank is the Worse-Off district in the region

ranking at 23 with 13 %.

Source: Crop Statistics Khyber Pakhtunkhwa 2013-14


20 | P a g e


21 | P a g e

SDG-3: Ensure healthy lives and promote well-being for all at all ages.

Target: 3.1: By 2030, reduce the global maternal mortality ratio to less than 70

per 100,000 live births

Indicator: 3.1.1: Maternal mortality ratio


The maternal mortality ratio (MMR) is defined as the number of

maternal deaths during a given time period per 100,000 live births

during the same time period.

Better-Off & Worse-Off

Districts/regions

In terms of Maternal Mortality Ratio, the best performing district is

Bannu where MMR is 24 per 100,000 compared to provincial figure

of 167/100,000 population. Haripur district is the worst performing

district with MMR value of 330.

Among the best performing districts, Nowshera ranks 2nd with a

score of 37. Division wise, Banu again tops the list. Kohat Division

ranks second among best performing divisions with average score

of 67 MMR/100,000. Hazara division with average MMR of 262 is the

worst performing Division. Battagram in Hazara Division is the best

performing District with MMR of 83. In Kohat Division District Kohat

with MMR 50 ranks to the top. In Malakand Division district upper

Dir is the best performing district with MMR of 71 while Chitral

District is the worst performing district with MMR of 190. Charsada

with MMR of 71 is the best performing district of Peshawar Division,

while Mardan ranks to the top in the Mardan Division. In D.I.Khan

leads the division with MMR of 81, while the worst performing

district in the D.I.Khan Division is Tank where the MMR stands at 273.

Source: DHIS 2015


22 | P a g e


23 | P a g e


Target: 3.1: By 2030, reduce the global maternal mortality ratio to less than 70


Indicator: 3.1.2: Proportion of births attended by skilled health personnel


Proportion of births attended by skilled health personnel (generally

doctors, nurses or midwives but can refer to other health

professionals providing childbirth care) is the proportion of

childbirths attended by professional health personnel.


Districts/regions

The best performing district is Peshawar where 71% births are

attended by skilled health personnel followed by District Mardan

69% and District Kohat 68%. Torghar is the worst performing district

with 18% of births attended by skilled health worker. Kohistan with

only 23% is the second worst performing district. By Division,

Peshawar and Kohat Divisions the best performing divisions with

average score of 64.33% on the indicator. Kohat with 68% score ranks

first in the Kohat Division. D.I.Khan Division is the worst performing

division with average score of 36%.

Source : PSLM 2014-15


24 | P a g e


25 | P a g e


Target: 3.2:

By 2030, end preventable deaths of newborns and children under 5 years

of age, with all countries aiming to reduce neonatal mortality to at least as

low as 12 per 1,000 live births and under-5 mortality to at least as low as 25


Indicator: 3.2.1: Under-five mortality rate


Under-five mortality is the probability of a child born in a specific year or

period dying before reaching the age of 5 years, if subject to age specific

mortality rates of that period, expressed per 1000 live births.

Better-Off & Worst-


District Abbottabad is the best performing one with regard to under-five

mortality with a value of 38 deaths per 1000 followed by District Chitral 43%.

The worst performing district is Battagram with a value of 146 per 1000.

Among Divisions, the best performing division is Peshawar with average

value of 54.3 followed by Malakand with 65 per 1000 under Five Mortality

rate. Bannu with 98.5 under Five Mortality Rate per 1000 is the worst

performing Division followed by Hazara Division 97.6.



26 | P a g e


27 | P a g e


Target: 3.2:

By 2030, end preventable deaths of newborns and children under

5 years of age, with all countries aiming to reduce neonatal mortality

to at least as low as 12 per 1,000 live births and under-5 mortality to

at least as low as 25 per 1,000 live births

Indicator: 3.2.2: Neonatal mortality rate


The neonatal mortality rate is the probability that a child born in a

specific year or period will die during the first 28 completed days of

life if subject to age-specific mortality rates of that period, expressed

per 1000 live births.


Districts/regions

Peshawar, Tank and Shangla are the best performing districts with

neonatal mortality rate (NMR) of 1 per 1000 live births. Second in the

row are districts of Banu, Charsada, Chitral, Haripur, Malakand and

Swabi with neonatal mortality of 2 for each. Among the worst

performing district Kohat ranks to the top with NMR of 71 per 1000.

By Division, Banu is the best performing division with average score

of 2 followed by D.I.Khan Division with 2.5. Kohat is the worst

performing division with 40 NMR/1,000 followed by Malakand with

2nd highest NMR of 14.6/1,000.

Source: DHIS 2015


28 | P a g e


29 | P a g e


Target: 3.3:

By 2030, end the epidemics of AIDS, tuberculosis, malaria and

neglected tropical diseases and combat hepatitis, water-borne

diseases, and other communicable diseases

Indicator: 3.3.3: Malaria incidence per 1,000 population

Indicator Definition Incidence of malaria is defined as the number of new cases of

malaria per 1,000 people at risk each year.


Districts/regions

The best performing district is Abbottabad where Malaria

Incidence (MI) cases are 0.01 per 1000 population followed by

Haripur with 0.03. The highest Malaria incidences are reported

from District Bannu where this value is 12.92 per 1000 population.

Division wise, the best performing Division is Hazara with

aggregate score of 0.02 Malaria Incidence per 1,000 people

followed by Malakand Division with 0.86. Banu with MI value of

8.04 is the worst performing Division followed by D.I.Khan with 5.2

MI.

Source: KP BOS 2015


30 | P a g e


31 | P a g e


Target: 3.7:

By 2030, ensure universal access to sexual and reproductive health-

care services, including for family planning, information and

education, and the integration of reproductive health into national

strategies and programmes

Indicator: 3.7.1: Proportion of women of reproductive age (aged 15–49 years) who

have their need for family planning satisfied with modern methods


The percentage of women of reproductive age (15-49 years)

currently using a modern method of contraception among those

who desire either to have no (additional) children or to postpone

the next pregnancy.


Districts/regions

District Chitral is the best performing district where 37.4% of women

in reproductive age are satisfied with modern methods of family

planning. Chitral is followed by Peshawar District where 36.4% are

satisfied with family planning methods. Kohistan is the worst

performing district where this rate is 0.9%. When it comes to

Divisions, the best performing Division is Peshawar with average

30.3% people satisfied with modern methods of family planning

followed by Mardan Division with 28.3%. The worst performing

Division is Hazara where only 17.4% are satisfied followed by D.I.Khan

Division with 17.8%



32 | P a g e


33 | P a g e


Target: 3.7:

By 2030, ensure universal access to sexual and reproductive health-

care services, including for family planning, information and

education, and the integration of reproductive health into national

strategies and programmes

Indicator: 3.7.2: Adolescent birth rate (aged 10–14 years; aged 15–19 years) per 1,000

women in that age group

Indicator Definition Annual number of births to females aged 10-14 or 15-19 years per 1,000

females in the respective age group.


Districts/regions

Abbottabad is best performing district with a lowest adolescent birth

rate of 13.5 per 1000 females, followed by Haripur and Lakki Marwat

districts with 33 per 1,000 females each. The adolescent birth rate is

highest for D.I.Khan district with a birth of 102 per 1000 females. The

second highest adolescent birth rate is recorded for district Buner

with 92 per 1,000 females. By Division, Hazara Division with 50

adolescent birth rate (ABR) is the best performing Division followed

by Peshawar Division with 53.3 ABR. Malakand with ABR of 86 is the

worst performing Division followed by D.I.Khan with 72.6. In

Malakand Division the best performing district Chitral with 58 ABR

and Buner with 95 ABR is the worst performing District.



34 | P a g e


35 | P a g e


Target: 3.8:

Achieve universal health coverage, including financial risk

protection, access to quality essential health-care services and

access to safe, effective, quality and affordable essential medicines

and vaccines for all

Indicator: 3.8.1 Coverage of essential health services


Coverage of essential health services (defined as the average

coverage of essential services based on tracer interventions that

include reproductive, maternal, newborn and child health, infectious

diseases, non-communicable diseases and service capacity and

access, among the general and the most disadvantaged population).

Better-Off & Worst-Off

Districts/regions

District Kohistan is the better-off district with 9% of coverage of

essential health services whereas Chitral is the worse-off with 2%

coverage. District Chitral and Upper Dir worst performing districts in

Malakand Division with 2% and 3% health services coverage

respectively. In Hazara Division Haipur, Mansehra and Abbottabad

are the worst-off district 3% coverage each. The District of Nowshera

with 3% is the worst-off while Peshawar District with 7% value is

better-off District in Peshawar Division. District D.I.Khan stands tall

in the Division with 7% coverage while Lakki is the worst-off with only

3% coverage. In Kohat Division District Kohat Ranks first with 5%

score while Hangu is left behind District with only 3% coverage.

Source: Sehat Sahulat Programme 2016-17


36 | P a g e


37 | P a g e


Target: 3.8:

Achieve universal health coverage, including financial risk

protection, access to quality essential health-care services and

access to safe, effective, quality and affordable essential medicines

and vaccines for all

Indicator: 3.8.2: Proportion of population with large household expenditures on

health as a share of total household expenditure or income

Indicator Definition Proportion of the population with large household expenditure on

health as a share of total household expenditure or income.


Districts/regions

Inter-districts comparative analysis indicates that the highest health

coverage constituting 92.2% of the total population is provided to

District Kohistan. While the lowest coverage encompassing 22.9 % of

the entire population, is in district Chitral

Source Sehat Sahulat Programme 2016-17


38 | P a g e


39 | P a g e


Target: 3.b:

Support the research and development of vaccines and medicines for the

communicable and non-communicable diseases that primarily affect

developing countries,

Indicator: 3.b.1: Proportion of the population with access to affordable medicines and

vaccines on a sustainable basis.


This indicator aims to measure access to vaccines. Vaccines include

Coverage of DTP containing vaccine (3rd dose), Coverage of Measles

containing vaccine (2nd dose), Coverage of Pneumococcal conjugate

vaccine, and Coverage of HPV vaccine

Better-Off & Worse-


Vaccination coverage in the province, overall, stands at 58%. Among

districts, Abbottabad and Lower Dir has the highest percentage of

population covered under vaccination with 77% coverage, each. Torghar

and Kohistan has the lowest vaccination coverage with only 2% and 7%

respectively. For districts of Peshawar, Hangu and Karak data is not

available for 2014-15. There is a huge gap between the best performing and

worst performing districts – Abbottabad (77%) and Torghar (2%). The

percentage is also comparatively low for southern districts of Bannu and

Laki with 22% and 21% coverage respectively



40 | P a g e


41 | P a g e

SDG-4: Ensure inclusive and quality education for all and promote lifelong learning:

Target: 4.2:

By 2030, ensure that all girls and boys have access to quality early childhood

development, care and pre-primary education so that they are ready for

primary education.

Indicator: 4.2.1: Proportion of children under 5 years of age who are developmentally on

track in health, learning and psychosocial well-being, by sex.

Indicator Definition There are multiple aspects of this indicator. The health aspect is reported in

this section.

Better-Off & Worse-


The numbers on this indicator are relatively better with the worst

performing district still reporting 82% of the children being developmentally

on track. The best performing district (Nowshehra) reports 99.5% of the

children under 5 years as on track followed by the Districts of Kohat (98.3%)

and Mardan (98%). The provincial Capital, District Peshawar is ranked at 14

position with 92.3%.

Twenty of the total twenty-five districts reports more than 90% of the

children as developmentally on track on physical health. The Worse

performing Districts include the districts of Kohistan (81.8%), Tank (84.8%),

Mansehra (85.9%), Torghar (86.4%), Haripur (89.5%), D.I.Khan (89.6%) and

Shangla (90%).



42 | P a g e


43 | P a g e


Target: 4.3:

By 2030, ensure that all girls and boys have access to quality early

childhood development, care and pre-primary education so that they are

ready for primary education.



Indicator Definition There are multiple aspects of this indicator. The psychological well-being

aspect is reported in this section.

Better-Off & Worse-


Among all the districts, Bannu has the highest percentage of children

(79.3%) who are developmentally on track in psychological well-being

followed by Chitral and Hangu with 75% and 73.7% respectively. Lower Dir

and Upper Dir has the least percentage with only 36% and 48% children

developmentally on track in psychological well-being, respectively. After

Dir Lower, other worst-off Districts include Dir Upper (48.6%), Shangla

(49.2%) and Karak (49.8%)



44 | P a g e


45 | P a g e


Target: 4.2:

By 2030, ensure that all girls and boys have access to quality early

childhood development, care and pre-primary education so that they are

ready for primary education.



Indicator Definition There are multiple aspects of this indicator. The learning aspect is reported

in this section.

Better-Off & Worse-


On this indicator District Tank leads the province with 96.7% of children of

5 years of who are developmentally on track in learning followed by

Haripur and Nowshera with 95.9% & 95.5% respectively. The worst

performing district is Karak with only 58% of the children developmentally

on track, followed by Kohistan (69%) and Torghar (71%). The districts of

Karak (58.6%) and Hangu (73%) in the south; and Kohistan (69.3%) and

Torghar (71.6%) in the north are the amongst the top worst-off districts.



46 | P a g e


47 | P a g e


Target: 4.4:

By 2030, substantially increase the number of youth and adults who have

relevant skills, including technical and vocational skills, for employment,

decent jobs and entrepreneurship

Indicator: 4.4.1: Proportion of youth and adults with information and communications

technology (ICT) skills, by type of skill. (Female)


The proportion of youth and adults with information and communications

technology (ICT) skills, by type of skill as defined as the percentage of

individuals that have undertaken certain -ICT-related activities in the last 3

months. The indicator is expressed as a percentage.

Better-Off & Worse-


District Nowshera and Swabi have the highest percentage of female with

ICT skills with more than 21% of total female population skilled in

information and technology. Tank and Buner are the worst performing

districts with 3.7% and 4.8% values. Hazara and the central regions are more

better off than the rest of the province. Data on Shangla, Torghar and

Kohistan is not available. Generally, gender parity is relatively worse off in

Southern Districts as compared to other regions.

Buner (4.8%) and Battagram (5.3%) in the north while Hangu (5.5%) and

Tank (3.7%) in the south are the top 4 worst-off districts.



48 | P a g e


49 | P a g e


Target: 4.5:

By 2030, eliminate gender disparities in education and ensure equal access

to all levels of education and vocational training for the vulnerable,

including persons with disabilities, indigenous peoples, and children in

vulnerable situations.

Indicator: 4.5.1: Parity indices (female/ male) for all education indicators on this list that

can be disaggregated.


This indicator reports on the primary education level of the parity indices

for male and female students at district level. It is defined as the difference

in the number of male students to female students.


Districts/regions

Gender parity index at primary education level is highest in Abbottabad

with a perfect 1 value followed by Mardan (0.99) and Chitral (0.97)

meaning that the ratio between male and female students is closer to

equal. Parity index is lowest in Kohistan (0.32) and Hangu (0.5) meaning

that there are more male students at primary level than female students.



50 | P a g e


51 | P a g e


Target: 4.5:

By 2030, eliminate gender disparities in education and ensure equal access

to all levels of education and vocational training for the vulnerable,

including persons with disabilities, indigenous peoples and children in

vulnerable situations.

Indicator: 4.5.2: Parity indices (female/ male) for all education indicators on this list that

can be disaggregated.


This indicator reports on the Secondary education level of the parity

indices for male and female students at district level. It is defined as the

difference in the number of male students to female students.

Better-Off & Worse-


The Parity index (the difference between male and female ratio) at

secondary education level is minimal in Abbottabad with similar number

of male and female students enrolled at secondary level followed by

Chitral and Haripur. The highest difference (parity) is seen in districts

Kohistan (0.04), Torghar (0.1) and Battagram (0.17). Among the regions,

the cluster of Kohistan, Battagram, Torghar, Shangla and Buner have a

higher cluster of difference. Similarly, the Southern region districts also

have a relatively higher difference.



52 | P a g e


53 | P a g e


Target: 4.6: By 2030, ensure that all youth and a substantial proportion of adults, both

men and women, achieve literacy and numeracy.

Indicator: 4.6.1: Percentage of population in a given age group achieving at least a fixed

level of proficiency in functional (a) literacy and (b) numeracy skills, by sex.

Indicator Definition This indicator measures the literacy and numeracy skills of the population.

The following portrays literacy numbers only.

Better-Off & Worse-


Literacy is highest in Abbottabad and Haripur district with 69% of the total

population in those districts qualifying as literate. The least literacy rate is

recorded in Torghar (23%) and Kohistan (24%) followed by Battagram (33%),

Shangla (36%) and Buner (38%) making a cluster of least literate districts. It

is noteworthy that these northern districts are in proximity with each other

having similar geo-demographic features.



54 | P a g e


55 | P a g e

SDG-5: Achieve gender equality and empower all women and girls

Target: 5.3: Eliminate all harmful practices, such as child, early and forced marriage

and female genital mutilation.

Indicator: 5.3.1: Proportion of women aged 20-24 years who were married or in a union

before age 15 and before age 18.

Indicator Definition The indicator captures the share of women aged 20-24 years old who were

married before the age of 15

Better-Off & Worse-


The highest number of early child marriages are reported in Kohistan

(62%), Shangla (47.8%), Swat (45%) and Battagram (43%). Districts with

least percentage of child marriages are Abbottabad (16.6) and Haripur

(16.6). The northernly located rural mountainous districts compared to

central and southern city areas (except Kohat) have a clearly higher

percentage of early child marriages. The average value on the indicator for

rural mountain districts (Torghar, Kohistan, Mansehra, Chitral, Batagram,

Swat and Dir Upper) is 42.8% while for central and southern city districts

(urban and urban-rural) (Abbottabad, Haripur, Mansehra, Mardan,

Charsada, Peshawar, Swabi, D.I.Khan, tank and Banu) it is almost half i.e.,

24.37%.



56 | P a g e


57 | P a g e

SDG-5: Achieve gender equality and empower all women and girls

Target-5.b: Enhance the use of enabling technology, in particular information and

communications technology, to promote the empowerment of women

Indicator-5.b.1: Proportion of individuals who own a mobile telephone, by sex (female)

Indicator Description

The indicator is defined as the ‘proportion of individuals who own a mobile

telephone, by sex’ (Male & Female). BY owning a mobile cellular phone

means mobile cellular phone device with at least one active SIM card for

personal use.

Better-Off & Worse-


Mansehra leads the province where 16% of total female population owns

a mobile phone with at least one SIM card followed by Haripur district with

15.5%. The worst performing district is Tank with only 2.3% of its entire

female population owning mobile phone followed by Dir Lower District

with a value of 2.6%. By division, Hazara with an average score of 12.5% is

the best performing division while D.I.Khan Division with 2.7% score is the

worst performing. Data not available for Kohistan, Shangla and Torghar

Source: MICS, 2016-17


58 | P a g e


59 | P a g e

SDG-6: Ensure access to water and sanitation for all.

Target-6.1: By 2030, achieve universal and equitable access to safe and affordable

drinking water for all.

Indicator-6.1.1: Proportion of population using safely managed drinking water services.

Indicator Description A safely managed drinking water service is defined as one located on

premises, available when needed and free from contamination.

Better-Off & Worse-


Despite having rich water resources only 73% (94% Urban & 69% Rural) of

population in Khyber Pakhtunkhwa has access to safely managed drinking

water compared to national average of 84% (PSLM 2014-15). Rural-Urban

disparities in access to clean drinking water is also high. The southernly

located Bannu district with 83% of its population having access to clean

drinking water is the best performing district in the province followed by

Abbottabad and Haripur with 81% each. While northernly located Kohistan

district is the worst performing district with only 8% population having

access to clean drinking water. Region wise, the northern region

(Malakand division) is worst performing region with 55% coverage, while

the central region, Peshawar and Marden divisions, is the best performing

region with 65% coverage.



60 | P a g e


61 | P a g e

SDG-6: Ensure access to water and sanitation for all.

Target-6.2:

By 2030, achieve access to adequate and equitable sanitation and

hygiene for all and end open defecation, paying special attention to the

needs of women and girls and those in vulnerable situations

Indicator-6.2.1: Proportion of population using safely managed sanitation services,

including a hand-washing facility with soap and water


By adequate sanitation services means population using a basic

sanitation facility which is not shared with other households and where

excreta are safely disposed in situ or treated off-site. Handwashing

facilities consist of: a device to contain or regulate water flow to

facilitate handwashing with soap.


Districts/regions

Among provinces, KP province ranks first on the indicator with 76% of

its population having access to safely managed sanitation. The national

figure for all provinces and regions (GB & AJK) is 86%. Within the

province Haripur is the best performing district with 90% population

having access to safe sanitation system, followed by Abbottabad,

Chitral and Peshawar with 88% each. Kohistan is the worst performing

district with only 27% population having access to safely managed

sanitation facilities followed by Torghar with 40%. By division, Mardan

with an average score of 85.5% is the best performing division while D.I.

Khan with average score of 49.5% is the worst performing Division.



62 | P a g e


63 | P a g e

SDG-7: Ensure access to affordable, reliable, sustainable, and modern energy for all

Target-7.1: By 2030, ensure universal access to affordable, reliable and modern

energy services

Indicator-7.1.1: Proportion of population with access to electricity

Indicator Description Electricity access in this scenario refers to the proportion of population

in given area that has access to consistent sources of electricity


Districts/regions

Among the provinces, Khyber Pakhtunkhwa takes leads with highest

percentage of its population (96.2%) having access to electricity against

the national value of 93%. Chitral is the best performing district with

almost 100% (99.8%) population having consistent access to electricity.

Second in the best performing row is Charsada with 99.66% value. The

worst performing district is Torghar with only 68.4% of its population

having access to electricity. Among divisions, Banu is the best

performing division with 99.35% of its population having access to

electricity. While the worst performing division is Hazara with 85.3%

population having access to electricity.



64 | P a g e


65 | P a g e

SDG-7: Ensure access to affordable, reliable, sustainable, and modern energy for all

Target-7.1: By 2030, increase substantially the share of renewable energy in the

global energy mix

Indicator-7.1.2: Renewable energy share in the total final energy consumption (clean

fuel and electricity)


Renewable energy consumption includes consumption of energy

derived from: hydro, wind, solar, solid biofuels, liquid biofuels, biogas,

natural gas, geothermal, marine and renewable waste.


Districts/regions

Peshawar is the best performing district with 73.3% energy derived

from clean fuel (gas & electricity) and access to clean technology

followed by Nowshera (54.9%) and Karak (42.76%) districts. Kohistan is

the worst performing district with 0.07% followed by Buner(0.1%). In

general share of clean energy and technology in urban and rural-Urban

areas in Peshawar, Mardan, Kohat and Hazara Division is significantly

high (40.02%) compared to rural-mountain areas in the north (5.6%).

Data not available on Upper Dir and Torghar Districts



66 | P a g e


67 | P a g e

SDG-8: Promote inclusive and sustainable economic growth, employment and decent work for all

Target-8.7:

Take immediate and effective measures to eradicate forced labor, end

modern slavery and human trafficking and secure the prohibition and

elimination of the worst forms of child labor, including recruitment and use

of child soldiers, and by 2025 end child labor in all its forms

Indicator-8.7.1: Proportion and number of children aged 5-17 years engaged in child labor,

by sex and age


The proportion of children in child labor is calculated as the number of

children in child labor divided by the total number of children in the

population in the given age cohort.

Better-Off & Worse-


Haripur is the best performing district with lowest percentage (5.9%) of

child engaged in labor followed by Nowshera and Torghar with 6.3% each.

The worst performing district is Laki Marwat where 34.3% child are

engaged in Child labor followed by Kohistan 31.7%. In KP the proportion of

child labor is 14.4% against the national figure of 9.6%.



68 | P a g e


69 | P a g e

SDG-15: Sustainably manage forests, combat desertification, halt and reverse land degradation, halt biodiversity loss

Target-15.1:

By 2020, ensure the conservation, restoration and sustainable use of

terrestrial and inland freshwater ecosystems and their services, in

particular forests, wetlands, mountains, and drylands, in line with

obligations under international agreements

Indicator-15.1.1: Forest area as a proportion of total land area

Indicator Description Forest area as a proportion of total land area


Districts/regions

Almost 40% of country’s forests are located in KP. 17% of the total land area

in KP is under forest. Forest cover is highest for northern districts and

lowest in southern districts. Highest forest cover is found in District Upper

Dir with where 33% of total land cover is under forest followed by Shangla

with 32.5%. Forest cover in District Charsada is lowest with only 0.2% land

cover under forest followed by Mardan with only 0.4% forest cover. The

central and extreme southern district of Peshawar, Mardan, D.I.Khan and

Bannu Divisions are very poor in forest cover. Among worst performing

Divisions Bannu takes the lead with 0.5% forest cover followed by D.I.Khan

0.6%, Mardan 1.1% and Peshawar 4.%. Hazara Division with a forest of cover

of 23.48% is the best performing Division followed by Malakand with 20.8%

forest cover.

Source: Crop statistics of KP, 2013-14


70 | P a g e


71 | P a g e

SDG-15: Sustainably manage forests, combat desertification, halt and reverse land degradation, halt biodiversity loss

Target-15.1:

By 2020, ensure the conservation, restoration and sustainable use of

terrestrial and inland freshwater ecosystems and their services, in particular

forests, wetlands, mountains, and drylands, in line with obligations under

international agreements

Indicator-15.1.2: Proportion of important sites for terrestrial and freshwater biodiversity that

are covered by protected areas, by ecosystem type.

Indicator

Description

Protected areas, as defined by the IUCN, are clearly defined geographical

spaces, recognized, dedicated, and managed, through legal or other

effective means, to achieve the long-term conservation of nature with

associated ecosystem services and cultural values.

Better-Off & Worse-


Of the total land area 13.4% is under designated Protected Areas of different

categories in Khyber Pakhtunkhwa Province. Kohat with 46% of its total area

under PAs is the best performing district followed by District Chitral with 35%

of its area under PAs. The proportion is lowest for Kohistan where only 1.2%

area is under PAs followed by Tank district with 2%. By Divisions, Malakand is

the best performing with 22% of its total area under Protected Areas

followed by Kohat Division with 19.7%. Bannu is the worst performing

Division with only 4.5% of its land area covered by PAs. Data not available for

Battagram, Charsada, Upper Dir, Peshawar, Shangla & Torghar.

Source: Khyber Pakhtunkhwa Wildlife Department, 2014-15


72 | P a g e


73 | P a g e

SDG-16: Promote just, peaceful and inclusive societies

Target: 16.2: End abuse, exploitations, trafficking and all forms of violence against

and torture of children

Indicator: 16.2.1:

Percentage of children aged 1-17 years who experienced any physical

punishment and/or psychological aggression by caregivers in the

past month


Percentage of children aged 2–14 who according to self-reports by

caregivers, experienced psychological aggression at home in the

past month. In Multiple Indicator Cluster Surveys (MICS),

psychological aggression refers to the action of shouting, yelling, or

screaming at a child, as well as calling a child offensive names, such

as ‘dumb’ or ‘lazy’.


Districts/regions

District Shangla is at the best performing end on the indicator with

48% followed by Swabi and Kohat with score of 50.5% and 51.6%

respectively while, Lakki and Bannu presents a bleak picture at the

opposite end with 83.2% and 82.6%. No data is available for Dir Upper.



74 | P a g e


75 | P a g e




Indicator: 16.2.1:


punishment and/or psychological aggression by caregivers in the past

month



caregivers, experienced physical Punishment at home in the past

month. In Multiple Indicator Cluster Surveys (MICS), Physical (or

corporal) punishment is an action intended to cause physical pain or

discomfort, but not injuries.


Districts/regions

District Shangla is at the best performing district in the province with

48% followed by Swabi and Kohat respectively at 50.5% and 51.6%

while, Lakki and Bannu presents the worst performing district with

83.2% and 82.6% respectively. No data is available for Dir Upper.



76 | P a g e


77 | P a g e




Indicator: 16.2.1:


punishment and/or psychological aggression by caregivers in the past

month



caregivers, experienced violent punishment at home in the past

month. In Multiple Indicator Cluster Surveys (MICS), Physical violent

punishment is an action intended to cause injuries alongside physical

pain or discomfort.


Districts/regions

District Shangla in the one with better off data at 62.4% followed by

Kohat and Karak 68.5% and 72.9% respectively while, Bannu and Lakki

are at the worse-off end with 93.2 and 89.9 %. No data is available for

Dir Upper.



78 | P a g e


79 | P a g e


Target: 16.6: Develop effective, accountable, and transparent institutions at all

levels

Indicator: 16.6.2: Proportion of the population satisfied with their last experience of

public services


SDG indicator 16.6.2 aims to generate globally comparable data on

satisfaction with public services. To this end, SDG 16.6.2 focuses on

respondent’s experiences of encountering delivery services at public

office dealing with agriculture sector.


Districts/regions

100% respondents from Abbottabad and Peshawar who had

experience of encountering delivery services at public office dealing

with agriculture sector are satisfied while, Mardan stands at third with

93.95% satisfied respondents. In case of non-satisfied or least satisfied

respondents Upper Dir tops the list with 14.13% and 20.4% respectively.

No Data Exists for Shangla.



80 | P a g e


81 | P a g e


Target: 16.6: Develop effective, accountable and transparent institutions at all

levels


public services



satisfaction with public services. To this end, SDG 16.6.2 focuses

global reporting on service areas of healthcare especially BHU’s.


Districts/regions

People/population from Peshawar District, Bannu and Mardan

respectively are amongst the most satisfied in terms of service

delivery at BHU at 82.96%, 79.13% and 75.87% while, Shangla, Kohistan

and Swabi starts the list from bottom end 24.93%, 27.75% and 29.84%

respectively.



82 | P a g e


83 | P a g e


Target: 16.6: Develop effective, accountable and transparent institutions at all levels


public services



satisfaction with public services. To this end, SDG 16.6.2 focuses global

reporting on services delivered in context of Family Planning.


Districts/regions

97.24%, 96.32% and 95.68% respondents from Kohat, Lower Dir and

Mardan who had interacted with public offices for services related to

family planning felt satisfied. In case of non-satisfied or least satisfied

respondents Swabi, Shangla and Tank lies at the bottom extreme with

56.39%, 45.61% and 43.22% respectively.



84 | P a g e


85 | P a g e



levels


public services



satisfaction with public services. To this end, SDG 16.6.2 focuses on

respondents’ experience with the public-school system over the past

12 months.


Districts/regions

100% respondents from Nowshera and Peshawar who had experience

with Public school system are satisfied while, Mardan stands at third

with 99.75% satisfied respondents. In case of non-satisfied or least

satisfied respondents Kohistan tops the list with 74.22% followed by

Tor Ghar and Dir Upper at 75.17 and 77.39% respectively.



86 | P a g e


87 | P a g e



levels


public services



satisfaction with public services. To this end, SDG 16.6.2 focuses global

reporting on services delivered at Police Stations.


Districts/regions

90.48%, 82.11% and 77.9% respondents from Battagram, Haripur and Dir

Upper respectively who came into interaction with police felt satisfied.

In case of non-satisfied or least satisfied respondents Tank is at top

with 40.18%, followed by D.I. Khan at 40.28% and Malakand at 43.79%.



88 | P a g e


89 | P a g e



levels


public services



satisfaction with public services. To this end, SDG 16.6.2 focuses

global reporting on services delivered in context of Veterinary

services.


Districts/regions

District of Mardan with 92.8%, Peshawar 90.24% and Charssada with

84.93% has topped the ranking for this very indicator, while, Shangla

with 7.4%, Upper Dir 17.28% and Chitral with 24.09% lies at the bottom

end of the ranking.



90 | P a g e


91 | P a g e


Target: 16.9: By 2030, provide legal identity for all, including birth registration

Indicator: 16.9.1: Proportion of children under 5 years of age whose births have been

registered with a civil authority, by age


Birth registration is defined as ‘the continuous, permanent and

universal recording, within the civil registry, of the occurrence and

characteristics of births in accordance with the legal requirements of

a country.


Districts/regions

Haripur has topped the list of districts with 54.1% of children registered

before attaining the age of five followed by Kohat with 45.3% and

Abbottabad with 42%. Kohistan is district which is on lowest side

where only 1.5% of children are registered before 5 years of age

followed by Shangla with 2.4 % and Upper Dir with 3.5%.



92 | P a g e


93 | P a g e

SDG-17: Revitalize the global partnership for sustainable development

Target: 17.8:

Fully operationalize the technology bank and science, technology

and innovation capacity-building mechanism for least developed

countries by 2017 and enhance the use of enabling technology, in

particular information and communications technology

Indicator: 17.8.1: Proportion of individuals using the Internet


The indicator proportion of Female individuals using the Internet is

defined as the proportion of individuals who used the Internet from

any location in the last three months.


Districts/regions

The better off district where female Individuals use the internet in

terms of ranking from the top are Peshawar 11.8%, Haripur 11.5% and

Manshera 10.8% while the district with least usage of Internet

amongst the female individuals are Bannu 0.9%, Lower Dir 1.6% and

Tank 1.7%.



94 | P a g e

District SDG Scorecard– Khyber Pakhtunkhwa

Documents

Transcript of District SDG Scorecard– Khyber Pakhtunkhwa