- December 21, 2024 6:03 PM
- 21/12/2024 6:03 pm
Eng
Urdu
English
- December 21, 2024 6:03 PM
Pakistan Social & Living Standards Measurement
Sample Design of PSLM
Metadata of Indicators
Summary of Key Indicator
Pakistan Social & Living Standards Measurement
Pakistan Social & Living Standards Measurement (PSLM) /HIES
PSLM (District Level Survey)
Pakistan Social & Living Standards Measurement survey (PSLM) is flagship survey of Pakistan Bureau of Statistics and the main mechanism to provide data for Monitoring Development plans at National/Provincial/District level for evidence-based policy making. PSLM surveys are being conducted since 2004 at alternate years and have become regular activity of PBS since 2015.
PSLM district level survey is the main source of monitoring developments plans at district level & its data used for Estimation of Multidimensional Poverty Index (MPI) by PD&SI. UN has adopted new development plan for post 2015 monitoring called Sustainable Development Goals (SDGs). Under SDGs there are 17 goals, 169 targets and 232 indicators. By considering the ground realities and SDGs, questionnaire of PSLM survey has been reviewed by technical committee. On the recommendations of technical committee changes has been incorporated and Modules regarding Disability, Migration, Information communication technology, Solid Waste Management, FIES and assets has been included in PSLM district level questionnaire for monitoring of related indicators at district level. Further 19 SDGs indicators will be reported through the survey at district level. In previous rounds of district level PSLM survey, the sample size of approximately 5300 block covering 80,000 households were covered. However, for PSLM 2019-20, sample size has been raised to 6500 blocks covering 195,000 households by considering disability variable, as disability is a rare event and for reliable estimates 30 household has been enumerated from each selected block. Further, AJ&K and GB at district level are covered in this survey; previously, AJ&K and GB were representative at overall province level.
Objectives:
The data generated though PSLM Survey is used by the government in formulating the poverty reduction strategy as well as development plans at district level. The indicators are developed at district level in the following sectors.
- Education
- Information Communication and Technology
- Health
- Disability
- Migration
- Housing Water Supply and Sanitation.
- Household Perception and Satisfaction.
- Food Insecurity Experience Scale.
Round Completed:
Seven PSLM District Level Surveys have been completed 2004-05, 2006-07, 2008-09, 2010-11, 2012-13, 2014-15 and 2019-20
Sample Design of PSLM
Sample Design of PSLM Survey 2019-20 (District Level)
Universe
The universe for survey consists of all urban and rural areas of four provinces of Pakistan, ICT, and Azad Jammu & Kashmir & Gilgit Baltistan excluded military restricted areas. It is worth mentioning here that areas of FATA now merged in Khyber Pakhtunkhwa have been covered in this survey.
Sampling Frame
After Census-2017 sample frame of PBS has been updated and now used for sample selection of
PSLM 2019-20. Each enumeration block is comprised to 200-250 houses on the average with well-defined boundaries and maps. In urban areas each enumeration block is treated as PSU while in rural areas villages are divided into blocks with well-defined boundaries & maps and each separate block within village is considered as PSU.
The numbers of enumeration block in urban and rural areas of the country are:
NUMBER OF ENUMERATION BLOCKS AS PER SAMPLING FRAME 2017
Province
Urban
Rural
Total
Khyber Pakhtunkhwa
3267
22538
25805
Punjab
27162
59841
87003
Sindh
21892
17239
39131
Balochistan
1839
8383
10222
Islamabad
726
789
1515
Azad Jammu & Kashmir
526
3496
4022
Gilgit/Baltistan
148
1098
1246
Total
55560
113384
168944
Urban Rural Total
Stratification Plan
Urban and rural part of each administrative district for all four provinces, Azad Jammu & Kashmir
and Gilgit Baltistan has been considered as two separate independent stratums. Domain of estimation is district for all provinces.
Sample Size and Its Allocation
As already mentioned that disability variable has been added for the first time in district level PSLM survey, therefore, sample size has been estimated keeping in view the coverage and representation of rare event of disability variable. All socio-economic indicators i.e. Net Enrollment Rate, Prenatal care, Immunization etc. are representative at 5% Margin of Error (MOE) and Disability is representative at 11% MOE district level for four provinces of Pakistan.
Keeping in view the variation observed in the population about the characteristics for which estimates are to be developed, distribution of population in the urban & rural domains, geographical level of estimates required, availability of field resources and cost, and especially for disability variable coverage, the sample size of 195,000 households covering 6500 sampled areas (enumeration blocks & villages) have been considered sufficient to generate variable estimates at district level in respect of four provinces including Azad Jammu & Kashmir and GB.
Dropped Areas
607 sample blocks were not covered due to lockdown restriction implementation to control spread of COVID-19 pandemic, un-approachable/security problems/military restricted areas in the country. Province wise details of dropped areas are as under:
Province
Urban
Rural
Total
Khyber Pakhtunkhwa
04
26
30
Punjab
31
157
188
Sindh
82
32
114
Balochistan
40
191
231
Azad Jammu &Kashmir
02
23
25
Gilgit/Baltistan
01
18
19
Total
160
447
607
Province Urban Rural Total
It is worth mentioning here that five districts of Balochistan namely Zhob, Panjgur, Jhal Magsi,, Chagai and Musa Khel are completely dropped. Further, complete urban part of four districts namely Kalat, Khuzdar, Qilla Saifullah and Shaheed Sikandarabad are also dropped.
Sample Design
A two stage stratified random sample design has been adopted for the survey.
Selection of Primary Sampling Units (PSUS)
Enumeration Blocks in both Urban and Rural domain are taken as Primary Sampling Units (PSUs). Sample PSUs from each ultimate stratum/sub-stratum are selected with probability proportional to size (PPS) method of sampling scheme. In both urban and rural domains, the number of households in an enumeration block has been taken as measure of size (MOS).
Selection of Secondary Sampling Units (SSUS)
The households of sample PSUs have been taken as Secondary Sampling Units (SSUs). 30 households have been selected from urban and rural domains respectively by using systematic sampling technique. It is pertinent to mention here that prevalence of disability variable is rare, therefore, 30 households at the second stage has been selected randomly for true representation and coverage of disability variable. Previously, 12 and 16 households from urban and rural areas were selected respectively.
Metadata of Indicators
Education
METADATA OF EDUCATION INDICATORS
METADATA OF EDUCATION INDICATORS
LITERACY RATE:-
Population aged 10 years and older that can read and write a simple statement with understanding in any language expressed as percentage of total population aged 10 years and older.
Methodology:-
Computation Method:-
Numerator of Literacy: – Population aged 10 years and older that is literate.sc1q01a(can a person read simple statement in any language with full understanding)=1 and sc1q02a(can a person write simple statement in any language with full understanding =1
- Denominator of Literacy: – Population aged 10 years and older.
Disaggregation:
Disaggregated analysis available by, age group, gender, region, and by quintile (only at provincial level) etc.
YOUTH LITERACY RATE 15 -24 YEARS:-
Population aged 15 -24 years that can read and write a simple statement with understanding in any language expressed as percentage of total population aged 15-24 years.
Methodology:-
Computation Method:-
Numerator of Literacy: – Population aged 15-24 years that is literate. sc1q01a(can a person read simple statement in any language with full understanding)=1 and sc1q02a(can a person write simple statement in any language with full understanding =1
- Denominator of Literacy: – Population aged 15-24 years.
Disaggregation:
Disaggregated analysis available by, age group, gender, region
ADULT LITERACY RATE 15 YEARS AND ABOVE:-
Population aged 15 years and above that can read and write a simple statement with understanding in any language expressed as percentage of total population aged 15 years and above.
Methodology:-
Computation Method:-
Numerator of Literacy: – Population aged 15 years and above that is literate. sc1q01a(can a person read simple statement in any language with full understanding)=1 and sc1q02a(can a person write simple statement in any language with full understanding =1
- Denominator of Literacy: – Population aged 15 years and above.
Disaggregation:
Disaggregated analysis available by, age group, gender, region
ICT
METADATA OF ICT INDICATORS
HOUSEHOLD WITH COMPUTER/LAPTOP/TABLET:-
Definition:
Household with Access to Computer/Laptop/Tablet Facility expressed in Percentage of total number of household.
Concept:
In PSLM survey, question regarding Access to facility of Computer/Laptop/Tablet by household was asked every in scope household. In Pakistan Due to technological intervention people’s daily has been changed. Computer/Laptop/Tablet are commonly used for creating document, sending email, using powerful software, web browsing ,reading e-book, playing games, listening to music and other passive activities.
Methodology:
Households having Computer/Laptop/Tablet , expressed as a percentage of the total number of household.
Denominator: Total no of households.
Disaggregation:
Disaggregation (urban/rural) and socioeconomic status.
HOUSEHOLD WITH MOBILE:-
Definition:
Household with Access to Mobile Facility expressed in Percentage of total number of household.
Concept:
In PSLM survey, question regarding Access to facility of Mobile by household was asked every in scope household. In Pakistan Due to technological intervention people’s daily has been changed. Mobile phones keep people connected, regardless of the distance.
Methodology:
Households having Mobile, expressed as a percentage of the total number of household.
Denominator: Total no of households.
Disaggregation:
Disaggregation (urban/rural) and socioeconomic status.
HOUSEHOLD WIT INTERNET:-
Definition:
Household with Access to Internet Facility expressed in Percentage of total number of household.
Concept:
In PSLM survey, question regarding Access to facility of Internet by household was asked every in scope household. In Pakistan Due to technological intervention people’s daily has been changed. Internet provide facility to communicate, to gather information, to transact personal and professional business and to entertain themselves.
Methodology:
Households having Internet, expressed as a percentage of the total number of household
Denominator: Total no of households.
Disaggregation:
Disaggregation (urban/rural) and socioeconomic status.
Health
METADATA OF HEALTH INDICATORS
BASED ON RECORD –FULLY IMMUNIZED:-
Definition:-
Children aged 12-23 months who reported having received full immunisation who also have an immunisation card, expressed as a percentage of all children aged 12-23 months. To be classified as fully immunised a child must have received: ’BCG’, PENTA1, PENTA2, PENTA3, PNEUM1, PNEUM2, PNEUM3, Polio0, Polio1, Polio2, Polio3, IPV and Measles1.
Computation Method:-
It is calculated for all children who had a health card, using all immunizations reported, and these were recorded on the card. It is likely that all will have been recorded on the card.
Full immunization means that the child has received: BCG, PENTA1, PENTA2, PENTA3, PNEUM1, PNEUM2, PNEUM3, Polio0, Polio1, Polio2, Polio3, IPV and Measles1.
Disaggregation:
Disaggregated analysis available by gender, region, and by quintile (only at provincial level) etc.
PRE-NATAL:-
Definition:-
Ever married women aged 15 – 49 years who had given birth in the last three years and who had attended at least one pre-natal consultation during the last pregnancy, expressed as a percentage of all ever married women aged 15 – 49 years who had given birth in the last three years.
Methodology:-
Computation Method:-
Currently married women aged 15 – 49 years who had given birth in the last three years and who had attended at least one pre-natal consultation during the last pregnancy, expressed as a percentage of all currently married women aged 15 – 49 years who had given birth in the last three years.
Currently married women aged 15-49 years who had given birth in the last three years and who had attended a pre-natal consultation at the source indicated expressed as a percentage of all of the same women who had had a pre-natal consultation.
Disaggregation:
Disaggregated analysis available by gender, region, and by quintile (only at provincial level) etc.
POST-NATAL:-
Definition:-
Post-natal is the period beginning immediately after the birth of a child and extending for about six weeks. Ever married women aged 15-49 years who received post-natal check-up expressed as a percentage of all ever married women aged 15-49 years who had a birth in the last three years.
Methodology:-
Computation Method:-
Currently married women aged 15-49 years who received post-natal check-up expressed as a percentage of all currently married women aged 15-49 years who had a birth in the last three years.
Percentage of currently married women aged 15-49 years who received post-natal check-up by source of check-up.
Disaggregation:
Disaggregated analysis available by gender, region, and by quintile (only at provincial level) etc.
SKILLED BIRTH ATTENDANT:-
Definition:-
Ever married woman aged 15-49 years who give live or still birth got attended by a skilled birth attendant i.e. (Doctor, Nurse, Midwife and LHV) at the time of its last delivery.
Methodology:-
Computation Method:-
Numerator of Skilled Birth Attendant: Women aged 15 – 49 years who were currently married or widow or divorced or separated and give birth or still birth in last three years prior the survey and got attended by skilled birth.
Denominator of Skilled Birth Attendant: Women aged 15 – 49 years who were currently married or widow or divorced or separated and give birth or still birth in last three years prior the survey.
Disaggregation:
Disaggregated analysis available by gender, region, and by quintile etc.
Housing
Housing
Concepts and definitions (No of Rooms)
Definition:
Housing units by number of rooms in percentage.
Concept:
In PSLM Surveys, question regarding rooms occupied by household asked from every in scope household. No of rooms occupied by household provide picture of living condition of household.
Number of rooms occupied by the household including bedrooms and living rooms. Storage rooms, bathrooms, toilets, kitchens and rooms for business are not included.
Methodology:
Housing units by number of rooms expressed in percentage
Disaggregation:
Disaggregation (urban/rural) and socioeconomic status.
Calendar Data collection:
Data regarding living standards collected and reported on alternate years through PSLM district level Survey.
Concepts and definitions (Occupancy Status)
Definition:
Housing units by occupancy status in percentage.
Concept:
In PSLM Surveys, question regarding occupancy status of household asked from every in scope household. Housing Status of household provide picture of living condition of household.
Methodology:
Occupancy Status expressed in percentage
Disaggregation:
Disaggregation (urban/rural) and socioeconomic status.
Calendar Data collection:
Data regarding living standards collected and reported on alternate years through PSLM district level Survey.
Concepts and definitions (Fuel used for Lighting)
Definition:
Housing units by fuel used for lighting in percentage.
Concept:
In PSLM Surveys, question regarding fuel used for lighting by household asked from every in scope household. Fuel used for lighting includes Electricity, Gas, Kerosene oil, petrol, diesel, Firewood, Candles, Other. Housing Status of household provide picture of living condition of household.
Methodology:
Housing units by type of fuel used for lighting expressed in percentage
Disaggregation:
Disaggregation (urban/rural) and socioeconomic status.
Calendar Data collection:
Data regarding living standards collected and reported on alternate years through PSLM district level Survey.
Concepts and definitions (Fuel used for Cooking)
Definition:
Housing units by fuel used for cooking in percentage.
Concept:
In PSLM Surveys, question regarding fuel used for cooking by household asked from every in scope household. Fuel for cooking includes Firewood, Gas, Kerosene oil, Dung Cake, Electricity, Crop residue, Charcoal/Coal, Other. Housing Status of household provide picture of living condition of household.
Methodology:
Housing Units by type of fuel used for cooking expressed in percentage
Disaggregation:
Disaggregation (urban/rural) and socioeconomic status.
Calendar Data collection:
Data regarding living standards collected and reported on alternate years through PSLM district level Survey.
Water Supply and Sanitation
Water Supply and Sanitation
Concepts and definitions (Main Source of Drinking Water)
Definition:
Source of drinking water from where household obtained drinking water.
Concept:
In PSLM Survey, questions are asked to know the main source of drinking water. Therefore this information is collected on tap water, motorized pumping, hand pump, dug well and other sources under the category of “others” which includes sea\river\pond\stream\canal, tanker, mineral water and filtration plant. Tap water is a delivery system where the water is delivered through a network of pipes and the water is treated before it is supplied. In urban areas generally, water comes in to house through pipes and is stored in tanks built in the house, then the water for the use of household is lifted to small tanks built at the top of the house, such system should be recorded as tap water supply. Hand Pump is a pump operated manually to draw water from a bored hole. Dug well is of two types, opened or closed well.
Methodology:
Numerator: Total no of Household obtaining water from the source.
Denominator: Total no of households.
Disaggregation:
Disaggregation by place of residence (urban/rural) and socioeconomic status (wealth, affordability) is possible.
Calendar Data collection:
Data regarding source of drinking water collected and reported annually through PSLM district level Survey and HIES survey.
Quintiles:
Income groups made on the basis of per-capita household consumption. The 1st quintile contains individuals with the lowest consumption level, whereas the 5th quintile contains individuals with the highest consumption.
Concepts and definitions (Payment of Water Supply)
Definition:
Percentage of Household Paying for water.
Concept:
In PSLM Surveys, question regarding payment for water asked from every in scope household. If household pays the water & conservancy charges, request to see the most recent water bill and estimate the average monthly charges. If the water charges are paid on an annual basis, divide the annual charges by 12.
Methodology:
The first column gives the percentage of households obtaining water from the source indicated. The second column gives the households that pay for water, expressed as a percentage of the households that obtain water from the source indicated. The third column gives the average amount paid per month by those households that pay for water, where sample size permits.
Disaggregation:
Disaggregation by source of water, (urban/rural) and socioeconomic status.
Calendar Data collection:
Data regarding source of drinking water collected and reported annually through PSLM district level Survey and HIES survey.
Quintiles:
Income groups made on the basis of per-capita household consumption. The 1st quintile contains individuals with the lowest consumption level, whereas the 5th quintile contains individuals with the highest consumption.
Concepts and definitions (Sanitation)
Definition:
Type of Toilet used by household in Percentage.
Concept:
In PSLM Surveys, question regarding type of Toilet used by household asked from every in scope household. The term sanitation, however, extends to cover cleanliness, hygiene, proper collection of liquid and solid wastes and their environmentally sound disposal. In this endeavor, the needs for waste reduction, reuse, recycle and change in the attitude towards consumption and production patterns are other imperatives for achieving goals of sustainable environment. The main goal of National Sanitation Policy is to provide adequate coverage for improving the quality of life of the people of Pakistan and to provide physical environment necessary for healthy life.
Toilet is a fixture for defecation and urination, consisting of a bowl fitted with a hinged seat and connected to a waste pipe and a flushing apparatus. In the questionnaire response was recorded regarding the type of toilet used by the household. A toilet, which is used by the household and is situated in the yard, is considered as a toilet in the household.
Methodology:
Households having the type of toilet indicated, expressed as a percentage of the total number of household.
Categories: “Flush” consists of flush connected to public sewerage, flush connected to pit and flush to open drain while “Non-Flush” contains dry raised latrine and dry pit latrine.
Disaggregation:
Disaggregation (urban/rural) and socioeconomic status.
Calendar Data collection:
Data regarding source of drinking water collected and reported annually through PSLM district level Survey and HIES survey.
Quintiles:
Income groups made on the basis of per-capita household consumption. The 1st quintile contains individuals with the lowest consumption level, whereas the 5th quintile contains individuals with the highest consumption.
Education
ICT
Housing
Water Supply and Sanitation
Education
Sample Design of PSLM Survey 2019-20 (District Level)
Universe
The universe for survey consists of all urban and rural areas of four provinces of Pakistan, ICT, and Azad Jammu & Kashmir & Gilgit Baltistan excluded military restricted areas. It is worth mentioning here that areas of FATA now merged in Khyber Pakhtunkhwa have been covered in this survey.
Sampling Frame
After Census-2017 sample frame of PBS has been updated and now used for sample selection of
PSLM 2019-20. Each enumeration block is comprised to 200-250 houses on the average with well-defined boundaries and maps. In urban areas each enumeration block is treated as PSU while in rural areas villages are divided into blocks with well-defined boundaries & maps and each separate block within village is considered as PSU.
The numbers of enumeration block in urban and rural areas of the country are:
NUMBER OF ENUMERATION BLOCKS AS PER SAMPLING FRAME 2017
Province
Urban
Rural
Total
Khyber Pakhtunkhwa
3267
22538
25805
Punjab
27162
59841
87003
Sindh
21892
17239
39131
Balochistan
1839
8383
10222
Islamabad
726
789
1515
Azad Jammu & Kashmir
526
3496
4022
Gilgit/Baltistan
148
1098
1246
Total
55560
113384
168944
Urban Rural Total
Stratification Plan
Urban and rural part of each administrative district for all four provinces, Azad Jammu & Kashmir
and Gilgit Baltistan has been considered as two separate independent stratums. Domain of estimation is district for all provinces.
Sample Size and Its Allocation
As already mentioned that disability variable has been added for the first time in district level PSLM survey, therefore, sample size has been estimated keeping in view the coverage and representation of rare event of disability variable. All socio-economic indicators i.e. Net Enrollment Rate, Prenatal care, Immunization etc. are representative at 5% Margin of Error (MOE) and Disability is representative at 11% MOE district level for four provinces of Pakistan.
Keeping in view the variation observed in the population about the characteristics for which estimates are to be developed, distribution of population in the urban & rural domains, geographical level of estimates required, availability of field resources and cost, and especially for disability variable coverage, the sample size of 195,000 households covering 6500 sampled areas (enumeration blocks & villages) have been considered sufficient to generate variable estimates at district level in respect of four provinces including Azad Jammu & Kashmir and GB.
Dropped Areas
607 sample blocks were not covered due to lockdown restriction implementation to control spread of COVID-19 pandemic, un-approachable/security problems/military restricted areas in the country. Province wise details of dropped areas are as under:
Province
Urban
Rural
Total
Khyber Pakhtunkhwa
04
26
30
Punjab
31
157
188
Sindh
82
32
114
Balochistan
40
191
231
Azad Jammu &Kashmir
02
23
25
Gilgit/Baltistan
01
18
19
Total
160
447
607
Province Urban Rural Total
It is worth mentioning here that five districts of Balochistan namely Zhob, Panjgur, Jhal Magsi,, Chagai and Musa Khel are completely dropped. Further, complete urban part of four districts namely Kalat, Khuzdar, Qilla Saifullah and Shaheed Sikandarabad are also dropped.
Sample Design
A two stage stratified random sample design has been adopted for the survey.
Selection of Primary Sampling Units (PSUS)
Enumeration Blocks in both Urban and Rural domain are taken as Primary Sampling Units (PSUs). Sample PSUs from each ultimate stratum/sub-stratum are selected with probability proportional to size (PPS) method of sampling scheme. In both urban and rural domains, the number of households in an enumeration block has been taken as measure of size (MOS).
Selection of Secondary Sampling Units (SSUS)
The households of sample PSUs have been taken as Secondary Sampling Units (SSUs). 30 households have been selected from urban and rural domains respectively by using systematic sampling technique. It is pertinent to mention here that prevalence of disability variable is rare, therefore, 30 households at the second stage has been selected randomly for true representation and coverage of disability variable. Previously, 12 and 16 households from urban and rural areas were selected respectively.
ICT
Pakistan Social & Living Standards Measurement (PSLM) /HIES
PSLM (District Level Survey)
Pakistan Social & Living Standards Measurement survey (PSLM) is flagship survey of Pakistan Bureau of Statistics and the main mechanism to provide data for Monitoring Development plans at National/Provincial/District level for evidence-based policy making. PSLM surveys are being conducted since 2004 at alternate years and have become regular activity of PBS since 2015.
PSLM district level survey is the main source of monitoring developments plans at district level & its data used for Estimation of Multidimensional Poverty Index (MPI) by PD&SI. UN has adopted new development plan for post 2015 monitoring called Sustainable Development Goals (SDGs). Under SDGs there are 17 goals, 169 targets and 232 indicators. By considering the ground realities and SDGs, questionnaire of PSLM survey has been reviewed by technical committee. On the recommendations of technical committee changes has been incorporated and Modules regarding Disability, Migration, Information communication technology, Solid Waste Management, FIES and assets has been included in PSLM district level questionnaire for monitoring of related indicators at district level. Further 19 SDGs indicators will be reported through the survey at district level. In previous rounds of district level PSLM survey, the sample size of approximately 5300 block covering 80,000 households were covered. However, for PSLM 2019-20, sample size has been raised to 6500 blocks covering 195,000 households by considering disability variable, as disability is a rare event and for reliable estimates 30 household has been enumerated from each selected block. Further, AJ&K and GB at district level are covered in this survey; previously, AJ&K and GB were representative at overall province level.
Objectives:
The data generated though PSLM Survey is used by the government in formulating the poverty reduction strategy as well as development plans at district level. The indicators are developed at district level in the following sectors.
- Education
- Information Communication and Technology
- Health
- Disability
- Migration
- Housing Water Supply and Sanitation.
- Household Perception and Satisfaction.
- Food Insecurity Experience Scale.
Round Completed:
Seven PSLM District Level Surveys have been completed 2004-05, 2006-07, 2008-09, 2010-11, 2012-13, 2014-15 and 2019-20
Housing
SUMMARY OF KEY INDICATORS
|
Key Indicators; -Education |
||||||
|
2019-20 |
2014-15 |
|||||
|
Province/Gender |
Male |
Female |
Total |
Male |
Female |
Total |
|
LITERACY RATES (10YEARSANDOLDER) |
||||||
|
Pakistan |
70 |
49 |
60 |
70 |
49 |
60 |
|
Punjab |
72 |
57 |
64 |
71 |
55 |
63 |
|
Sindh |
68 |
47 |
58 |
70 |
49 |
60 |
|
Khyber Pakhtunkhwa Excluding Merged Areas |
72 |
37 |
55 |
71 |
35 |
53 |
|
Balochistan |
61 |
29 |
46 |
61 |
25 |
44 |
|
OUTOFSCHOOLCHILDREN AGED (5-16) YEARS |
||||||
|
Pakistan |
27 |
37 |
32 |
|||
|
Punjab |
22 |
26 |
24 |
|||
|
Sindh |
39 |
51 |
44 |
|||
|
Khyber Pakhtunkhwa Excluding Merged Areas |
20 |
40 |
30 |
|||
|
Balochistan |
38 |
59 |
47 |
|||
|
PRIMARYGER(CLASS1-5&AGE6-10) |
||||||
|
Pakistan |
89 |
78 |
84 |
98 |
82 |
91 |
|
Punjab |
93 |
90 |
92 |
103 |
92 |
98 |
|
Sindh |
78 |
62 |
71 |
88 |
69 |
79 |
|
Khyber Pakhtunkhwa Excluding Merged Areas |
98 |
79 |
89 |
103 |
80 |
92 |
|
Balochistan |
84 |
56 |
72 |
89 |
54 |
73 |
|
PRIMARYNER(CLASS1-5&AGE6-10) |
||||||
|
Pakistan |
68 |
60 |
64 |
72 |
62 |
67 |
|
Punjab |
71 |
69 |
70 |
73 |
67 |
70 |
|
Sindh |
60 |
49 |
55 |
67 |
54 |
61 |
|
Khyber Pakhtunkhwa Excluding Merged Areas |
73 |
59 |
66 |
78 |
62 |
71 |
|
Balochistan |
65 |
45 |
56 |
67 |
42 |
56 |
|
MIDDLEGER(CLASS6-8&AGE11-13) |
||||||
|
Pakistan |
65 |
57 |
63 |
68 |
56 |
62 |
|
Punjab |
68 |
66 |
67 |
67 |
62 |
64 |
|
Sindh |
60 |
43 |
54 |
61 |
48 |
55 |
|
Khyber Pakhtunkhwa Excluding Merged Areas |
84 |
53 |
70 |
84 |
54 |
71 |
|
Balochistan |
56 |
34 |
47 |
59 |
34 |
48 |
|
Key Indicators;-Education |
||||||
|
2019-20 |
2014-15 |
|||||
|
Province/Gender |
Male |
Female |
Total |
Male |
Female |
Total |
|
MIDDLENER(CLASS6-8&AGE11-13) |
||||||
|
Pakistan |
35 |
35 |
37 |
39 |
34 |
37 |
|
Punjab |
40 |
41 |
41 |
39 |
38 |
38 |
|
Sindh |
35 |
29 |
32 |
37 |
30 |
34 |
|
Khyber Pakhtunkhwa Excluding Merged Areas |
48 |
32 |
40 |
48 |
31 |
41 |
|
Balochistan |
31 |
20 |
26 |
31 |
19 |
26 |
|
MATRICGER(CLASS 9-10AGE14-15) |
||||||
|
Pakistan |
63 |
50 |
57 |
64 |
50 |
58 |
|
Punjab |
68 |
62 |
65 |
68 |
58 |
63 |
|
Sindh |
54 |
39 |
47 |
57 |
44 |
51 |
|
Khyber Pakhtunkhwa Excluding Merged Areas |
71 |
39 |
56 |
69 |
38 |
55 |
|
Balochistan |
47 |
21 |
36 |
50 |
21 |
39 |
|
MATRICNER (CLASS9-10age14-15) |
||||||
|
Pakistan |
28 |
25 |
27 |
29 |
24 |
27 |
|
Punjab |
30 |
31 |
30 |
29 |
29 |
29 |
|
Sindh |
24 |
20 |
22 |
29 |
20 |
25 |
|
Khyber Pakhtunkhwa Excluding Merged Areas |
32 |
20 |
27 |
34 |
18 |
27 |
|
Balochistan |
18 |
9 |
14 |
19 |
9 |
15 |
|
Key Indicators:ICT |
|||
|
2019-20 |
|||
|
HOUSEHOLDWITH: |
U |
R |
T |
|
Computer |
19 |
7 |
12 |
|
Internet |
48 |
23 |
33 |
|
Mobile |
96 |
91 |
93 |
|
PERCENTAGEOF THEPOPULATION10YEARSANDOLDERWITHMOBILEOWNERSHIP |
|||
|
M |
F |
T |
|
|
Pakistan |
65 |
25 |
45 |
|
Urban |
71 |
38 |
55 |
|
Rural |
61 |
17 |
39 |
|
PERCENTAGEOFTHEPOPULATION10YEARSANDOLDERUSEDINTERNETINLASTTHREEMONTHS |
|||
|
Pakistan |
24 |
14 |
19 |
|
Urban |
37 |
24 |
31 |
|
Rural |
16 |
7 |
12 |
|
PERCENTAGEOF THEPOPULATION10YEARSANDOLDERWITHICTSKILLS |
|||
|
Copy Move |
66 |
57 |
63 |
|
Copy Paste |
54 |
52 |
53 |
|
Send Mail |
51 |
44 |
48 |
|
Spread Sheet |
31 |
20 |
27 |
|
Finding Downloading Software. |
33 |
32 |
33 |
|
Presentation |
25 |
16 |
21 |
|
Transferring Files |
35 |
33 |
35 |
|
Programming |
24 |
15 |
20 |
|
Social Media |
46 |
41 |
45 |
|
Entertainment |
60 |
58 |
59 |
|
Connecting Installing Devices |
26 |
15 |
22 |
|
Key IndicatorsHealth |
||||||
|
2019-20 |
2014-15 |
|||||
|
Province/Gender |
Male |
Female |
Total |
Male |
Female |
Total |
|
FULLIMMUNIZATION (12-23MONTHSBASEDONRECORD) |
||||||
|
Pakistan |
70 |
71 |
70 |
70 |
56 |
60 |
|
Punjab |
81 |
81 |
81 |
75 |
68 |
70 |
|
Sindh |
51 |
52 |
52 |
62 |
33 |
45 |
|
Khyber Pakhtunkhwa |
68 |
69 |
69 |
74 |
54 |
58 |
|
Balochistan |
36 |
35 |
35 |
48 |
20 |
27 |
|
FULLIMMUNIZATION (12-23MONTHSBASEDONRECALLANDRECORD) |
||||||
|
Pakistan |
81 |
82 |
81 |
86 |
80 |
82 |
|
Punjab |
88 |
89 |
89 |
88 |
90 |
89 |
|
Sindh |
72 |
75 |
73 |
83 |
66 |
77 |
|
Khyber Pakhtunkhwa |
75 |
79 |
77 |
90 |
75 |
78 |
|
Balochistan |
54 |
53 |
53 |
70 |
45 |
51 |
|
DIARRHOEALAST15DAYSUNDER5YEARS |
||||||
|
Pakistan |
7 |
6 |
6 |
– |
– |
– |
|
Punjab |
6 |
6 |
6 |
– |
– |
– |
|
Sindh |
9 |
7 |
8 |
– |
– |
– |
|
Khyber Pakhtunkhwa |
6 |
6 |
6 |
– |
– |
– |
|
Balochistan |
7 |
7 |
7 |
– |
– |
– |
|
DIARRHOEACASESWHEREORSGIVEN(UNDER5YEARS) |
||||||
|
Pakistan |
84 |
84 |
84 |
– |
– |
– |
|
Punjab |
75 |
77 |
76 |
– |
– |
– |
|
Sindh |
95 |
93 |
94 |
– |
– |
– |
|
Khyber Pakhtunkhwa |
86 |
88 |
87 |
– |
– |
– |
|
Balochistan |
87 |
88 |
87 |
– |
– |
– |
|
2019-20 |
2013-14 |
|||||
|
Urban |
Rural |
Total |
Urban |
Rural |
Total |
|
|
PRENATALCOUNSULTATION |
||||||
|
86 |
72 |
77 |
86 |
67 |
73 |
|
|
89 |
80 |
83 |
87 |
75 |
78 |
|
|
84 |
63 |
73 |
87 |
59 |
72 |
|
|
82 |
66 |
69 |
80 |
61 |
64 |
|
|
75 |
59 |
63 |
65 |
41 |
47 |
|
|
SKILLEDBIRTHATTENDANT |
||||||
|
82 |
62 |
68 |
79 |
49 |
58 |
|
|
82 |
64 |
70 |
79 |
52 |
60 |
|
|
83 |
60 |
70 |
82 |
41 |
59 |
|
|
84 |
63 |
66 |
77 |
52 |
56 |
|
|
71 |
46 |
52 |
58 |
30 |
38 |
|
|
POSTNATALCONSULTATION |
||||||
|
48 |
34 |
39 |
38 |
25 |
29 |
|
|
48 |
39 |
42 |
37 |
25 |
29 |
|
|
48 |
32 |
40 |
40 |
28 |
33 |
|
|
45 |
28 |
30 |
33 |
23 |
25 |
|
|
36 |
25 |
28 |
32 |
17 |
21 |
|
|
Key Indicator: Water Supply &Sanitation |
||||||
|
2019-20 |
2014-15 |
|||||
|
Province/Region |
U |
R |
T |
U |
R |
T |
|
MAINSOURCEOF DRINKINGWATER(%HOUSEHOLDS) |
||||||
|
Piped Water |
36 |
14 |
22 |
51 |
13 |
27 |
|
Hand Pump |
7 |
33 |
23 |
7 |
38 |
26 |
|
Motor Pump |
24 |
34 |
30 |
27 |
36 |
33 |
|
Dug Well |
.7 |
5 |
3 |
.9 |
5 |
3 |
|
Filtration Plant |
19 |
4 |
10 |
6 |
1 |
3 |
|
Other |
7 |
7 |
7 |
8 |
8 |
8 |
|
Total |
100 |
100 |
100 |
100 |
100 |
100 |
|
TYPEOFTOILET(%HOUSEHOLDS) |
||||||
|
Household Flush |
97 |
74 |
83 |
97 |
60 |
73 |
|
Non-Flush |
2 |
11 |
8 |
2 |
20 |
13 |
|
No Toilet |
1 |
15 |
10 |
.8 |
21 |
13 |
|
Total |
100 |
100 |
100 |
100 |
100 |
100 |
|
Key Indicator: Housing |
||||||
|
2019-20 |
2014-15 |
|||||
|
Province/Region |
U |
R |
T |
U |
R |
T |
|
MAIN FUEL USED FOR COOKING, LIGHTING/CLEANFUEL |
||||||
|
Cooking: Gas |
88 |
23 |
48 |
85 |
16 |
41 |
|
Lighting: Electricity |
98 |
86 |
91 |
99 |
90 |
93 |
|
Clean Fuel |
73 |
15 |
37 |
|||
|
HOUSEHOLDWITHOWNDWELLINGUNITS |
||||||
|
70 |
89 |
82 |
74 |
90 |
84 |
|
|
REGION ANDPROVINCE |
ECONOMICSITUATIONOFTHEHOUSEHOLD |
||||||
|
Much Worse |
Worse |
Same |
Better |
Much Better |
Don’t Know |
Total |
|
|
|||||||
|
OVERALL |
12 |
26 |
46 |
13 |
2 |
1 |
100.00 |
|
Punjab |
12 |
25 |
46 |
14 |
3 |
.21 |
100.00 |
|
Sindh |
11 |
29 |
47 |
9 |
2 |
3 |
100.00 |
|
Khyber Pakhtunkhwa |
11 |
27 |
42 |
17 |
3 |
.68 |
100.00 |
|
Balochistan |
20 |
22 |
43 |
13 |
2 |
.35 |
100.00 |
|
|||||||
|
OVERALL |
7 |
30 |
44 |
16 |
2 |
0.22 |
100.00 |
|
Punjab |
7 |
31 |
43 |
18 |
2 |
0.09 |
100.00 |
|
Sindh |
6 |
29 |
49 |
13 |
2 |
0.49 |
100.00 |
|
Khyber Pakhtunkhwa |
12 |
26 |
38 |
19 |
5 |
0.22 |
100.00 |
|
Balochistan |
11 |
23 |
48 |
16 |
2 |
0.15 |
100.00 |
|
REGION AND PROVINCE |
ECONOMICSITUATIONOFTHECOMMUNITY |
||||||
|
Much Worse |
Worse |
Same |
|
Much Better |
Don’t Know |
Total |
|
|
B. PSLM 2019-20 |
|||||||
|
OVERALL |
11 |
23 |
48 |
11 |
1 |
6 |
100.00 |
|
Punjab |
10 |
23 |
51 |
10 |
1 |
5 |
100.00 |
|
Sindh |
12 |
26 |
45 |
9 |
1 |
8 |
100.00 |
|
Khyber Pakhtunkhwa |
11 |
23 |
39 |
17 |
2 |
8 |
100.00 |
|
Balochistan |
17 |
21 |
46 |
11 |
1 |
5 |
100.00 |
|
B. PSLM 2014-15 |
|||||||
|
OVERALL |
4 |
17 |
62 |
11 |
1 |
5 |
100.0 |
|
Punjab |
3 |
14 |
67 |
11 |
1 |
4 |
100.0 |
|
Sindh |
4 |
27 |
56 |
8 |
1 |
5 |
100.0 |
|
Khyber Pakhtunkhwa |
4 |
12 |
54 |
19 |
3 |
8 |
100.0 |
|
Balochistan |
10 |
16 |
53 |
7 |
1 |
12 |
100.0 |
|
REGION ANDPROVINCE |
FACILITIESANDSERVICESUSE |
||||||
|
BASICHEALTHUNIT |
FAMILYPLANNING |
SCHOOL |
VETERINARYHOSPITAL |
AGRICULTURAL(EXT.) |
POLICE |
||
|
C.PSLM2019-20 |
|||||||
|
OVERALL |
67 |
86 |
97 |
77 |
76 |
57 |
|
|
Punjab |
72 |
89 |
98 |
81 |
77 |
58 |
|
|
Sindh |
64 |
92 |
95 |
77 |
83 |
49 |
|
|
Khyber Pakhtunkhwa |
65 |
88 |
96 |
72 |
83 |
71 |
|
|
Balochistan |
40 |
50 |
83 |
41 |
42 |
56 |
|
|
C.PSLM2014-15 |
|||||||
|
OVERALL |
57 |
83 |
94 |
71 |
65 |
48 |
|
|
Punjab |
66 |
86 |
96 |
80 |
80 |
50 |
|
|
Sindh |
51 |
81 |
90 |
58 |
58 |
35 |
|
|
Khyber Pakhtunkhwa |
50 |
82 |
93 |
58 |
57 |
66 |
|
|
Balochistan |
43 |
62 |
82 |
47 |
55 |
50 |
|
Water Supply and Sanitation
SUMMARY OF KEY INDICATORS
|
Key Indicators; -Education |
||||||
|
2019-20 |
2014-15 |
|||||
|
Province/Gender |
Male |
Female |
Total |
Male |
Female |
Total |
|
LITERACY RATES (10YEARSANDOLDER) |
||||||
|
Pakistan |
70 |
49 |
60 |
70 |
49 |
60 |
|
Punjab |
72 |
57 |
64 |
71 |
55 |
63 |
|
Sindh |
68 |
47 |
58 |
70 |
49 |
60 |
|
Khyber Pakhtunkhwa Excluding Merged Areas |
72 |
37 |
55 |
71 |
35 |
53 |
|
Balochistan |
61 |
29 |
46 |
61 |
25 |
44 |
|
OUTOFSCHOOLCHILDREN AGED (5-16) YEARS |
||||||
|
Pakistan |
27 |
37 |
32 |
|||
|
Punjab |
22 |
26 |
24 |
|||
|
Sindh |
39 |
51 |
44 |
|||
|
Khyber Pakhtunkhwa Excluding Merged Areas |
20 |
40 |
30 |
|||
|
Balochistan |
38 |
59 |
47 |
|||
|
PRIMARYGER(CLASS1-5&AGE6-10) |
||||||
|
Pakistan |
89 |
78 |
84 |
98 |
82 |
91 |
|
Punjab |
93 |
90 |
92 |
103 |
92 |
98 |
|
Sindh |
78 |
62 |
71 |
88 |
69 |
79 |
|
Khyber Pakhtunkhwa Excluding Merged Areas |
98 |
79 |
89 |
103 |
80 |
92 |
|
Balochistan |
84 |
56 |
72 |
89 |
54 |
73 |
|
PRIMARYNER(CLASS1-5&AGE6-10) |
||||||
|
Pakistan |
68 |
60 |
64 |
72 |
62 |
67 |
|
Punjab |
71 |
69 |
70 |
73 |
67 |
70 |
|
Sindh |
60 |
49 |
55 |
67 |
54 |
61 |
|
Khyber Pakhtunkhwa Excluding Merged Areas |
73 |
59 |
66 |
78 |
62 |
71 |
|
Balochistan |
65 |
45 |
56 |
67 |
42 |
56 |
|
MIDDLEGER(CLASS6-8&AGE11-13) |
||||||
|
Pakistan |
65 |
57 |
63 |
68 |
56 |
62 |
|
Punjab |
68 |
66 |
67 |
67 |
62 |
64 |
|
Sindh |
60 |
43 |
54 |
61 |
48 |
55 |
|
Khyber Pakhtunkhwa Excluding Merged Areas |
84 |
53 |
70 |
84 |
54 |
71 |
|
Balochistan |
56 |
34 |
47 |
59 |
34 |
48 |
|
Key Indicators;-Education |
||||||
|
2019-20 |
2014-15 |
|||||
|
Province/Gender |
Male |
Female |
Total |
Male |
Female |
Total |
|
MIDDLENER(CLASS6-8&AGE11-13) |
||||||
|
Pakistan |
35 |
35 |
37 |
39 |
34 |
37 |
|
Punjab |
40 |
41 |
41 |
39 |
38 |
38 |
|
Sindh |
35 |
29 |
32 |
37 |
30 |
34 |
|
Khyber Pakhtunkhwa Excluding Merged Areas |
48 |
32 |
40 |
48 |
31 |
41 |
|
Balochistan |
31 |
20 |
26 |
31 |
19 |
26 |
|
MATRICGER(CLASS 9-10AGE14-15) |
||||||
|
Pakistan |
63 |
50 |
57 |
64 |
50 |
58 |
|
Punjab |
68 |
62 |
65 |
68 |
58 |
63 |
|
Sindh |
54 |
39 |
47 |
57 |
44 |
51 |
|
Khyber Pakhtunkhwa Excluding Merged Areas |
71 |
39 |
56 |
69 |
38 |
55 |
|
Balochistan |
47 |
21 |
36 |
50 |
21 |
39 |
|
MATRICNER (CLASS9-10age14-15) |
||||||
|
Pakistan |
28 |
25 |
27 |
29 |
24 |
27 |
|
Punjab |
30 |
31 |
30 |
29 |
29 |
29 |
|
Sindh |
24 |
20 |
22 |
29 |
20 |
25 |
|
Khyber Pakhtunkhwa Excluding Merged Areas |
32 |
20 |
27 |
34 |
18 |
27 |
|
Balochistan |
18 |
9 |
14 |
19 |
9 |
15 |
|
Key Indicators:ICT |
|||
|
2019-20 |
|||
|
HOUSEHOLDWITH: |
U |
R |
T |
|
Computer |
19 |
7 |
12 |
|
Internet |
48 |
23 |
33 |
|
Mobile |
96 |
91 |
93 |
|
PERCENTAGEOF THEPOPULATION10YEARSANDOLDERWITHMOBILEOWNERSHIP |
|||
|
M |
F |
T |
|
|
Pakistan |
65 |
25 |
45 |
|
Urban |
71 |
38 |
55 |
|
Rural |
61 |
17 |
39 |
|
PERCENTAGEOFTHEPOPULATION10YEARSANDOLDERUSEDINTERNETINLASTTHREEMONTHS |
|||
|
Pakistan |
24 |
14 |
19 |
|
Urban |
37 |
24 |
31 |
|
Rural |
16 |
7 |
12 |
|
PERCENTAGEOF THEPOPULATION10YEARSANDOLDERWITHICTSKILLS |
|||
|
Copy Move |
66 |
57 |
63 |
|
Copy Paste |
54 |
52 |
53 |
|
Send Mail |
51 |
44 |
48 |
|
Spread Sheet |
31 |
20 |
27 |
|
Finding Downloading Software. |
33 |
32 |
33 |
|
Presentation |
25 |
16 |
21 |
|
Transferring Files |
35 |
33 |
35 |
|
Programming |
24 |
15 |
20 |
|
Social Media |
46 |
41 |
45 |
|
Entertainment |
60 |
58 |
59 |
|
Connecting Installing Devices |
26 |
15 |
22 |
|
Key IndicatorsHealth |
||||||
|
2019-20 |
2014-15 |
|||||
|
Province/Gender |
Male |
Female |
Total |
Male |
Female |
Total |
|
FULLIMMUNIZATION (12-23MONTHSBASEDONRECORD) |
||||||
|
Pakistan |
70 |
71 |
70 |
70 |
56 |
60 |
|
Punjab |
81 |
81 |
81 |
75 |
68 |
70 |
|
Sindh |
51 |
52 |
52 |
62 |
33 |
45 |
|
Khyber Pakhtunkhwa |
68 |
69 |
69 |
74 |
54 |
58 |
|
Balochistan |
36 |
35 |
35 |
48 |
20 |
27 |
|
FULLIMMUNIZATION (12-23MONTHSBASEDONRECALLANDRECORD) |
||||||
|
Pakistan |
81 |
82 |
81 |
86 |
80 |
82 |
|
Punjab |
88 |
89 |
89 |
88 |
90 |
89 |
|
Sindh |
72 |
75 |
73 |
83 |
66 |
77 |
|
Khyber Pakhtunkhwa |
75 |
79 |
77 |
90 |
75 |
78 |
|
Balochistan |
54 |
53 |
53 |
70 |
45 |
51 |
|
DIARRHOEALAST15DAYSUNDER5YEARS |
||||||
|
Pakistan |
7 |
6 |
6 |
– |
– |
– |
|
Punjab |
6 |
6 |
6 |
– |
– |
– |
|
Sindh |
9 |
7 |
8 |
– |
– |
– |
|
Khyber Pakhtunkhwa |
6 |
6 |
6 |
– |
– |
– |
|
Balochistan |
7 |
7 |
7 |
– |
– |
– |
|
DIARRHOEACASESWHEREORSGIVEN(UNDER5YEARS) |
||||||
|
Pakistan |
84 |
84 |
84 |
– |
– |
– |
|
Punjab |
75 |
77 |
76 |
– |
– |
– |
|
Sindh |
95 |
93 |
94 |
– |
– |
– |
|
Khyber Pakhtunkhwa |
86 |
88 |
87 |
– |
– |
– |
|
Balochistan |
87 |
88 |
87 |
– |
– |
– |
|
2019-20 |
2013-14 |
|||||
|
Urban |
Rural |
Total |
Urban |
Rural |
Total |
|
|
PRENATALCOUNSULTATION |
||||||
|
86 |
72 |
77 |
86 |
67 |
73 |
|
|
89 |
80 |
83 |
87 |
75 |
78 |
|
|
84 |
63 |
73 |
87 |
59 |
72 |
|
|
82 |
66 |
69 |
80 |
61 |
64 |
|
|
75 |
59 |
63 |
65 |
41 |
47 |
|
|
SKILLEDBIRTHATTENDANT |
||||||
|
82 |
62 |
68 |
79 |
49 |
58 |
|
|
82 |
64 |
70 |
79 |
52 |
60 |
|
|
83 |
60 |
70 |
82 |
41 |
59 |
|
|
84 |
63 |
66 |
77 |
52 |
56 |
|
|
71 |
46 |
52 |
58 |
30 |
38 |
|
|
POSTNATALCONSULTATION |
||||||
|
48 |
34 |
39 |
38 |
25 |
29 |
|
|
48 |
39 |
42 |
37 |
25 |
29 |
|
|
48 |
32 |
40 |
40 |
28 |
33 |
|
|
45 |
28 |
30 |
33 |
23 |
25 |
|
|
36 |
25 |
28 |
32 |
17 |
21 |
|
|
Key Indicator: Water Supply &Sanitation |
||||||
|
2019-20 |
2014-15 |
|||||
|
Province/Region |
U |
R |
T |
U |
R |
T |
|
MAINSOURCEOF DRINKINGWATER(%HOUSEHOLDS) |
||||||
|
Piped Water |
36 |
14 |
22 |
51 |
13 |
27 |
|
Hand Pump |
7 |
33 |
23 |
7 |
38 |
26 |
|
Motor Pump |
24 |
34 |
30 |
27 |
36 |
33 |
|
Dug Well |
.7 |
5 |
3 |
.9 |
5 |
3 |
|
Filtration Plant |
19 |
4 |
10 |
6 |
1 |
3 |
|
Other |
7 |
7 |
7 |
8 |
8 |
8 |
|
Total |
100 |
100 |
100 |
100 |
100 |
100 |
|
TYPEOFTOILET(%HOUSEHOLDS) |
||||||
|
Household Flush |
97 |
74 |
83 |
97 |
60 |
73 |
|
Non-Flush |
2 |
11 |
8 |
2 |
20 |
13 |
|
No Toilet |
1 |
15 |
10 |
.8 |
21 |
13 |
|
Total |
100 |
100 |
100 |
100 |
100 |
100 |
|
Key Indicator: Housing |
||||||
|
2019-20 |
2014-15 |
|||||
|
Province/Region |
U |
R |
T |
U |
R |
T |
|
MAIN FUEL USED FOR COOKING, LIGHTING/CLEANFUEL |
||||||
|
Cooking: Gas |
88 |
23 |
48 |
85 |
16 |
41 |
|
Lighting: Electricity |
98 |
86 |
91 |
99 |
90 |
93 |
|
Clean Fuel |
73 |
15 |
37 |
|||
|
HOUSEHOLDWITHOWNDWELLINGUNITS |
||||||
|
70 |
89 |
82 |
74 |
90 |
84 |
|
|
REGION ANDPROVINCE |
ECONOMICSITUATIONOFTHEHOUSEHOLD |
||||||
|
Much Worse |
Worse |
Same |
Better |
Much Better |
Don’t Know |
Total |
|
|
|||||||
|
OVERALL |
12 |
26 |
46 |
13 |
2 |
1 |
100.00 |
|
Punjab |
12 |
25 |
46 |
14 |
3 |
.21 |
100.00 |
|
Sindh |
11 |
29 |
47 |
9 |
2 |
3 |
100.00 |
|
Khyber Pakhtunkhwa |
11 |
27 |
42 |
17 |
3 |
.68 |
100.00 |
|
Balochistan |
20 |
22 |
43 |
13 |
2 |
.35 |
100.00 |
|
|||||||
|
OVERALL |
7 |
30 |
44 |
16 |
2 |
0.22 |
100.00 |
|
Punjab |
7 |
31 |
43 |
18 |
2 |
0.09 |
100.00 |
|
Sindh |
6 |
29 |
49 |
13 |
2 |
0.49 |
100.00 |
|
Khyber Pakhtunkhwa |
12 |
26 |
38 |
19 |
5 |
0.22 |
100.00 |
|
Balochistan |
11 |
23 |
48 |
16 |
2 |
0.15 |
100.00 |
|
REGION AND PROVINCE |
ECONOMICSITUATIONOFTHECOMMUNITY |
||||||
|
Much Worse |
Worse |
Same |
|
Much Better |
Don’t Know |
Total |
|
|
B. PSLM 2019-20 |
|||||||
|
OVERALL |
11 |
23 |
48 |
11 |
1 |
6 |
100.00 |
|
Punjab |
10 |
23 |
51 |
10 |
1 |
5 |
100.00 |
|
Sindh |
12 |
26 |
45 |
9 |
1 |
8 |
100.00 |
|
Khyber Pakhtunkhwa |
11 |
23 |
39 |
17 |
2 |
8 |
100.00 |
|
Balochistan |
17 |
21 |
46 |
11 |
1 |
5 |
100.00 |
|
B. PSLM 2014-15 |
|||||||
|
OVERALL |
4 |
17 |
62 |
11 |
1 |
5 |
100.0 |
|
Punjab |
3 |
14 |
67 |
11 |
1 |
4 |
100.0 |
|
Sindh |
4 |
27 |
56 |
8 |
1 |
5 |
100.0 |
|
Khyber Pakhtunkhwa |
4 |
12 |
54 |
19 |
3 |
8 |
100.0 |
|
Balochistan |
10 |
16 |
53 |
7 |
1 |
12 |
100.0 |
|
REGION ANDPROVINCE |
FACILITIESANDSERVICESUSE |
||||||
|
BASICHEALTHUNIT |
FAMILYPLANNING |
SCHOOL |
VETERINARYHOSPITAL |
AGRICULTURAL(EXT.) |
POLICE |
||
|
C.PSLM2019-20 |
|||||||
|
OVERALL |
67 |
86 |
97 |
77 |
76 |
57 |
|
|
Punjab |
72 |
89 |
98 |
81 |
77 |
58 |
|
|
Sindh |
64 |
92 |
95 |
77 |
83 |
49 |
|
|
Khyber Pakhtunkhwa |
65 |
88 |
96 |
72 |
83 |
71 |
|
|
Balochistan |
40 |
50 |
83 |
41 |
42 |
56 |
|
|
C.PSLM2014-15 |
|||||||
|
OVERALL |
57 |
83 |
94 |
71 |
65 |
48 |
|
|
Punjab |
66 |
86 |
96 |
80 |
80 |
50 |
|
|
Sindh |
51 |
81 |
90 |
58 |
58 |
35 |
|
|
Khyber Pakhtunkhwa |
50 |
82 |
93 |
58 |
57 |
66 |
|
|
Balochistan |
43 |
62 |
82 |
47 |
55 |
50 |
|
METADATA OF INDICATORS
LITERACY RATE:-
Population aged 10 years and older that can read and write a simple statement with understanding in any language expressed as percentage of total population aged 10 years and older.
Methodology:-
Computation Method:-
Numerator of Literacy: – Population aged 10 years and older that is literate.sc1q01a(can a person read simple statement in any language with full understanding)=1 and sc1q02a(can a person write simple statement in any language with full understanding =1
Denominator of Literacy: – Population aged 10 years and older.
Disaggregation:
Disaggregated analysis available by, age group, gender, region, and by quintile (only at provincial level) etc.
YOUTH LITERACY RATE 15 -24 YEARS:-
Population aged 15 -24 years that can read and write a simple statement with understanding in any language expressed as percentage of total population aged 15-24 years.
Methodology:-
Computation Method:-
Numerator of Literacy: – Population aged 15-24 years that is literate. sc1q01a(can a person read simple statement in any language with full understanding)=1 and sc1q02a(can a person write simple statement in any language with full understanding =1
Denominator of Literacy: – Population aged 15-24 years.
Disaggregation:
Disaggregated analysis available by, age group, gender, region
ADULT LITERACY RATE 15 YEARS AND ABOVE:-
Population aged 15 years and above that can read and write a simple statement with understanding in any language expressed as percentage of total population aged 15 years and above.
Methodology:-
Computation Method:-
Numerator of Literacy: – Population aged 15 years and above that is literate. sc1q01a(can a person read simple statement in any language with full understanding)=1 and sc1q02a(can a person write simple statement in any language with full understanding =1
Denominator of Literacy: – Population aged 15 years and above.
Disaggregation:
Disaggregated analysis available by, age group, gender, region
Metadata of Mobile Ownership
Mobile Ownership :-
Population aged 10 years and older that have personal Mobile/Smart Phone ownership in last three months.
Methodology:-
Computation Method:-
Numerator of mobile ownership: – Population aged 10 years and older that own mobile/Smart phone in last three months i.e. sc2q05 = 1 and sc2q05=2
Denominator : – Population aged 10 years and older.
Disaggregation:
Disaggregated analysis available by, gender, region, and by quintile (only at provincial level) etc.
METADATA OF HEALTH INDICATORS
BASED ON RECORD –FULLY IMMUNIZED:-
Definition:-
Children aged 12-23 months who reported having received full immunisation who also have an immunisation card, expressed as a percentage of all children aged 12-23 months. To be classified as fully immunised a child must have received: ’BCG’, PENTA1, PENTA2, PENTA3, PNEUM1, PNEUM2, PNEUM3, Polio0, Polio1, Polio2, Polio3, IPV and Measles1.
Computation Method:-
It is calculated for all children who had a health card, using all immunizations reported, and these were recorded on the card. It is likely that all will have been recorded on the card.
Full immunization means that the child has received: BCG, PENTA1, PENTA2, PENTA3, PNEUM1, PNEUM2, PNEUM3, Polio0, Polio1, Polio2, Polio3, IPV and Measles1.
Disaggregation:
Disaggregated analysis available by gender, region, and by quintile (only at provincial level) etc.
PRE-NATAL:-
Definition:-
Ever married women aged 15 – 49 years who had given birth in the last three years and who had attended at least one pre-natal consultation during the last pregnancy, expressed as a percentage of all ever married women aged 15 – 49 years who had given birth in the last three years.
Methodology:-
Computation Method:-
Currently married women aged 15 – 49 years who had given birth in the last three years and who had attended at least one pre-natal consultation during the last pregnancy, expressed as a percentage of all currently married women aged 15 – 49 years who had given birth in the last three years.
Currently married women aged 15-49 years who had given birth in the last three years and who had attended a pre-natal consultation at the source indicated expressed as a percentage of all of the same women who had had a pre-natal consultation.
Disaggregation:
Disaggregated analysis available by gender, region, and by quintile (only at provincial level) etc.
POST-NATAL:-
Definition:-
Post-natal is the period beginning immediately after the birth of a child and extending for about six weeks. Ever married women aged 15-49 years who received post-natal check-up expressed as a percentage of all ever married women aged 15-49 years who had a birth in the last three years.
Methodology:-
Computation Method:-
Currently married women aged 15-49 years who received post-natal check-up expressed as a percentage of all currently married women aged 15-49 years who had a birth in the last three years.
Percentage of currently married women aged 15-49 years who received post-natal check-up by source of check-up.
Disaggregation:
Disaggregated analysis available by gender, region, and by quintile (only at provincial level) etc.
SKILLED BIRTH ATTENDANT:-
Definition:-
Ever married woman aged 15-49 years who give live or still birth got attended by a skilled birth attendant i.e. (Doctor, Nurse, Midwife and LHV) at the time of its last delivery.
Methodology:-
Computation Method:-
Numerator of Skilled Birth Attendant: Women aged 15 – 49 years who were currently married or widow or divorced or separated and give birth or still birth in last three years prior the survey and got attended by skilled birth.
Denominator of Skilled Birth Attendant: Women aged 15 – 49 years who were currently married or widow or divorced or separated and give birth or still birth in last three years prior the survey.
Disaggregation:
Disaggregated analysis available by gender, region, and by quintile etc.
Summary of Key Indicator
SUMMARY OF KEY INDICATORS
|
Key Indicators; -Education |
||||||
|
2019-20 |
2014-15 |
|||||
|
Province/Gender |
Male |
Female |
Total |
Male |
Female |
Total |
|
LITERACY RATES (10YEARSANDOLDER) |
||||||
|
Pakistan |
70 |
49 |
60 |
70 |
49 |
60 |
|
Punjab |
72 |
57 |
64 |
71 |
55 |
63 |
|
Sindh |
68 |
47 |
58 |
70 |
49 |
60 |
|
Khyber Pakhtunkhwa Excluding Merged Areas |
72 |
37 |
55 |
71 |
35 |
53 |
|
Balochistan |
61 |
29 |
46 |
61 |
25 |
44 |
|
OUTOFSCHOOLCHILDREN AGED (5-16) YEARS |
||||||
|
Pakistan |
27 |
37 |
32 |
|||
|
Punjab |
22 |
26 |
24 |
|||
|
Sindh |
39 |
51 |
44 |
|||
|
Khyber Pakhtunkhwa Excluding Merged Areas |
20 |
40 |
30 |
|||
|
Balochistan |
38 |
59 |
47 |
|||
|
PRIMARYGER(CLASS1-5&AGE6-10) |
||||||
|
Pakistan |
89 |
78 |
84 |
98 |
82 |
91 |
|
Punjab |
93 |
90 |
92 |
103 |
92 |
98 |
|
Sindh |
78 |
62 |
71 |
88 |
69 |
79 |
|
Khyber Pakhtunkhwa Excluding Merged Areas |
98 |
79 |
89 |
103 |
80 |
92 |
|
Balochistan |
84 |
56 |
72 |
89 |
54 |
73 |
|
PRIMARYNER(CLASS1-5&AGE6-10) |
||||||
|
Pakistan |
68 |
60 |
64 |
72 |
62 |
67 |
|
Punjab |
71 |
69 |
70 |
73 |
67 |
70 |
|
Sindh |
60 |
49 |
55 |
67 |
54 |
61 |
|
Khyber Pakhtunkhwa Excluding Merged Areas |
73 |
59 |
66 |
78 |
62 |
71 |
|
Balochistan |
65 |
45 |
56 |
67 |
42 |
56 |
|
MIDDLEGER(CLASS6-8&AGE11-13) |
||||||
|
Pakistan |
65 |
57 |
63 |
68 |
56 |
62 |
|
Punjab |
68 |
66 |
67 |
67 |
62 |
64 |
|
Sindh |
60 |
43 |
54 |
61 |
48 |
55 |
|
Khyber Pakhtunkhwa Excluding Merged Areas |
84 |
53 |
70 |
84 |
54 |
71 |
|
Balochistan |
56 |
34 |
47 |
59 |
34 |
48 |
|
Key Indicators;-Education |
||||||
|
2019-20 |
2014-15 |
|||||
|
Province/Gender |
Male |
Female |
Total |
Male |
Female |
Total |
|
MIDDLENER(CLASS6-8&AGE11-13) |
||||||
|
Pakistan |
35 |
35 |
37 |
39 |
34 |
37 |
|
Punjab |
40 |
41 |
41 |
39 |
38 |
38 |
|
Sindh |
35 |
29 |
32 |
37 |
30 |
34 |
|
Khyber Pakhtunkhwa Excluding Merged Areas |
48 |
32 |
40 |
48 |
31 |
41 |
|
Balochistan |
31 |
20 |
26 |
31 |
19 |
26 |
|
MATRICGER(CLASS 9-10AGE14-15) |
||||||
|
Pakistan |
63 |
50 |
57 |
64 |
50 |
58 |
|
Punjab |
68 |
62 |
65 |
68 |
58 |
63 |
|
Sindh |
54 |
39 |
47 |
57 |
44 |
51 |
|
Khyber Pakhtunkhwa Excluding Merged Areas |
71 |
39 |
56 |
69 |
38 |
55 |
|
Balochistan |
47 |
21 |
36 |
50 |
21 |
39 |
|
MATRICNER (CLASS9-10age14-15) |
||||||
|
Pakistan |
28 |
25 |
27 |
29 |
24 |
27 |
|
Punjab |
30 |
31 |
30 |
29 |
29 |
29 |
|
Sindh |
24 |
20 |
22 |
29 |
20 |
25 |
|
Khyber Pakhtunkhwa Excluding Merged Areas |
32 |
20 |
27 |
34 |
18 |
27 |
|
Balochistan |
18 |
9 |
14 |
19 |
9 |
15 |
|
Key Indicators:ICT |
|||
|
2019-20 |
|||
|
HOUSEHOLDWITH: |
U |
R |
T |
|
Computer |
19 |
7 |
12 |
|
Internet |
48 |
23 |
33 |
|
Mobile |
96 |
91 |
93 |
|
PERCENTAGEOF THEPOPULATION10YEARSANDOLDERWITHMOBILEOWNERSHIP |
|||
|
M |
F |
T |
|
|
Pakistan |
65 |
25 |
45 |
|
Urban |
71 |
38 |
55 |
|
Rural |
61 |
17 |
39 |
|
PERCENTAGEOFTHEPOPULATION10YEARSANDOLDERUSEDINTERNETINLASTTHREEMONTHS |
|||
|
Pakistan |
24 |
14 |
19 |
|
Urban |
37 |
24 |
31 |
|
Rural |
16 |
7 |
12 |
|
PERCENTAGEOF THEPOPULATION10YEARSANDOLDERWITHICTSKILLS |
|||
|
Copy Move |
66 |
57 |
63 |
|
Copy Paste |
54 |
52 |
53 |
|
Send Mail |
51 |
44 |
48 |
|
Spread Sheet |
31 |
20 |
27 |
|
Finding Downloading Software. |
33 |
32 |
33 |
|
Presentation |
25 |
16 |
21 |
|
Transferring Files |
35 |
33 |
35 |
|
Programming |
24 |
15 |
20 |
|
Social Media |
46 |
41 |
45 |
|
Entertainment |
60 |
58 |
59 |
|
Connecting Installing Devices |
26 |
15 |
22 |
|
Key IndicatorsHealth |
||||||
|
2019-20 |
2014-15 |
|||||
|
Province/Gender |
Male |
Female |
Total |
Male |
Female |
Total |
|
FULLIMMUNIZATION (12-23MONTHSBASEDONRECORD) |
||||||
|
Pakistan |
70 |
71 |
70 |
70 |
56 |
60 |
|
Punjab |
81 |
81 |
81 |
75 |
68 |
70 |
|
Sindh |
51 |
52 |
52 |
62 |
33 |
45 |
|
Khyber Pakhtunkhwa |
68 |
69 |
69 |
74 |
54 |
58 |
|
Balochistan |
36 |
35 |
35 |
48 |
20 |
27 |
|
FULLIMMUNIZATION (12-23MONTHSBASEDONRECALLANDRECORD) |
||||||
|
Pakistan |
81 |
82 |
81 |
86 |
80 |
82 |
|
Punjab |
88 |
89 |
89 |
88 |
90 |
89 |
|
Sindh |
72 |
75 |
73 |
83 |
66 |
77 |
|
Khyber Pakhtunkhwa |
75 |
79 |
77 |
90 |
75 |
78 |
|
Balochistan |
54 |
53 |
53 |
70 |
45 |
51 |
|
DIARRHOEALAST15DAYSUNDER5YEARS |
||||||
|
Pakistan |
7 |
6 |
6 |
– |
– |
– |
|
Punjab |
6 |
6 |
6 |
– |
– |
– |
|
Sindh |
9 |
7 |
8 |
– |
– |
– |
|
Khyber Pakhtunkhwa |
6 |
6 |
6 |
– |
– |
– |
|
Balochistan |
7 |
7 |
7 |
– |
– |
– |
|
DIARRHOEACASESWHEREORSGIVEN(UNDER5YEARS) |
||||||
|
Pakistan |
84 |
84 |
84 |
– |
– |
– |
|
Punjab |
75 |
77 |
76 |
– |
– |
– |
|
Sindh |
95 |
93 |
94 |
– |
– |
– |
|
Khyber Pakhtunkhwa |
86 |
88 |
87 |
– |
– |
– |
|
Balochistan |
87 |
88 |
87 |
– |
– |
– |
|
2019-20 |
2013-14 |
|||||
|
Urban |
Rural |
Total |
Urban |
Rural |
Total |
|
|
PRENATALCOUNSULTATION |
||||||
|
86 |
72 |
77 |
86 |
67 |
73 |
|
|
89 |
80 |
83 |
87 |
75 |
78 |
|
|
84 |
63 |
73 |
87 |
59 |
72 |
|
|
82 |
66 |
69 |
80 |
61 |
64 |
|
|
75 |
59 |
63 |
65 |
41 |
47 |
|
|
SKILLEDBIRTHATTENDANT |
||||||
|
82 |
62 |
68 |
79 |
49 |
58 |
|
|
82 |
64 |
70 |
79 |
52 |
60 |
|
|
83 |
60 |
70 |
82 |
41 |
59 |
|
|
84 |
63 |
66 |
77 |
52 |
56 |
|
|
71 |
46 |
52 |
58 |
30 |
38 |
|
|
POSTNATALCONSULTATION |
||||||
|
48 |
34 |
39 |
38 |
25 |
29 |
|
|
48 |
39 |
42 |
37 |
25 |
29 |
|
|
48 |
32 |
40 |
40 |
28 |
33 |
|
|
45 |
28 |
30 |
33 |
23 |
25 |
|
|
36 |
25 |
28 |
32 |
17 |
21 |
|
|
Key Indicator: Water Supply &Sanitation |
||||||
|
2019-20 |
2014-15 |
|||||
|
Province/Region |
U |
R |
T |
U |
R |
T |
|
MAINSOURCEOF DRINKINGWATER(%HOUSEHOLDS) |
||||||
|
Piped Water |
36 |
14 |
22 |
51 |
13 |
27 |
|
Hand Pump |
7 |
33 |
23 |
7 |
38 |
26 |
|
Motor Pump |
24 |
34 |
30 |
27 |
36 |
33 |
|
Dug Well |
.7 |
5 |
3 |
.9 |
5 |
3 |
|
Filtration Plant |
19 |
4 |
10 |
6 |
1 |
3 |
|
Other |
7 |
7 |
7 |
8 |
8 |
8 |
|
Total |
100 |
100 |
100 |
100 |
100 |
100 |
|
TYPEOFTOILET(%HOUSEHOLDS) |
||||||
|
Household Flush |
97 |
74 |
83 |
97 |
60 |
73 |
|
Non-Flush |
2 |
11 |
8 |
2 |
20 |
13 |
|
No Toilet |
1 |
15 |
10 |
.8 |
21 |
13 |
|
Total |
100 |
100 |
100 |
100 |
100 |
100 |
|
Key Indicator: Housing |
||||||
|
2019-20 |
2014-15 |
|||||
|
Province/Region |
U |
R |
T |
U |
R |
T |
|
MAIN FUEL USED FOR COOKING, LIGHTING/CLEANFUEL |
||||||
|
Cooking: Gas |
88 |
23 |
48 |
85 |
16 |
41 |
|
Lighting: Electricity |
98 |
86 |
91 |
99 |
90 |
93 |
|
Clean Fuel |
73 |
15 |
37 |
|||
|
HOUSEHOLDWITHOWNDWELLINGUNITS |
||||||
|
70 |
89 |
82 |
74 |
90 |
84 |
|
|
REGION ANDPROVINCE |
ECONOMICSITUATIONOFTHEHOUSEHOLD |
||||||
|
Much Worse |
Worse |
Same |
Better |
Much Better |
Don’t Know |
Total |
|
|
|||||||
|
OVERALL |
12 |
26 |
46 |
13 |
2 |
1 |
100.00 |
|
Punjab |
12 |
25 |
46 |
14 |
3 |
.21 |
100.00 |
|
Sindh |
11 |
29 |
47 |
9 |
2 |
3 |
100.00 |
|
Khyber Pakhtunkhwa |
11 |
27 |
42 |
17 |
3 |
.68 |
100.00 |
|
Balochistan |
20 |
22 |
43 |
13 |
2 |
.35 |
100.00 |
|
|||||||
|
OVERALL |
7 |
30 |
44 |
16 |
2 |
0.22 |
100.00 |
|
Punjab |
7 |
31 |
43 |
18 |
2 |
0.09 |
100.00 |
|
Sindh |
6 |
29 |
49 |
13 |
2 |
0.49 |
100.00 |
|
Khyber Pakhtunkhwa |
12 |
26 |
38 |
19 |
5 |
0.22 |
100.00 |
|
Balochistan |
11 |
23 |
48 |
16 |
2 |
0.15 |
100.00 |
|
REGION AND PROVINCE |
ECONOMICSITUATIONOFTHECOMMUNITY |
||||||
|
Much Worse |
Worse |
Same |
|
Much Better |
Don’t Know |
Total |
|
|
B. PSLM 2019-20 |
|||||||
|
OVERALL |
11 |
23 |
48 |
11 |
1 |
6 |
100.00 |
|
Punjab |
10 |
23 |
51 |
10 |
1 |
5 |
100.00 |
|
Sindh |
12 |
26 |
45 |
9 |
1 |
8 |
100.00 |
|
Khyber Pakhtunkhwa |
11 |
23 |
39 |
17 |
2 |
8 |
100.00 |
|
Balochistan |
17 |
21 |
46 |
11 |
1 |
5 |
100.00 |
|
B. PSLM 2014-15 |
|||||||
|
OVERALL |
4 |
17 |
62 |
11 |
1 |
5 |
100.0 |
|
Punjab |
3 |
14 |
67 |
11 |
1 |
4 |
100.0 |
|
Sindh |
4 |
27 |
56 |
8 |
1 |
5 |
100.0 |
|
Khyber Pakhtunkhwa |
4 |
12 |
54 |
19 |
3 |
8 |
100.0 |
|
Balochistan |
10 |
16 |
53 |
7 |
1 |
12 |
100.0 |
|
REGION ANDPROVINCE |
FACILITIESANDSERVICESUSE |
||||||
|
BASICHEALTHUNIT |
FAMILYPLANNING |
SCHOOL |
VETERINARYHOSPITAL |
AGRICULTURAL(EXT.) |
POLICE |
||
|
C.PSLM2019-20 |
|||||||
|
OVERALL |
67 |
86 |
97 |
77 |
76 |
57 |
|
|
Punjab |
72 |
89 |
98 |
81 |
77 |
58 |
|
|
Sindh |
64 |
92 |
95 |
77 |
83 |
49 |
|
|
Khyber Pakhtunkhwa |
65 |
88 |
96 |
72 |
83 |
71 |
|
|
Balochistan |
40 |
50 |
83 |
41 |
42 |
56 |
|
|
C.PSLM2014-15 |
|||||||
|
OVERALL |
57 |
83 |
94 |
71 |
65 |
48 |
|
|
Punjab |
66 |
86 |
96 |
80 |
80 |
50 |
|
|
Sindh |
51 |
81 |
90 |
58 |
58 |
35 |
|
|
Khyber Pakhtunkhwa |
50 |
82 |
93 |
58 |
57 |
66 |
|
|
Balochistan |
43 |
62 |
82 |
47 |
55 |
50 |
|
Reports
- Pakistan Social And Living Standards Measurement Survey (PSLM) 2019-20 Provincial / District
- Key Finding Report of PSLM District Level Survey 2019-20
- Pakistan Social And Living Standards Measurement Survey (PSLM) 2014-15 Provincial / District
- Pakistan Social And Living Standards Measurement Survey (Pslm) 2012-13 Provincial / District
- Pakistan Social And Living Standards Measurement Survey (Pslm) 2010-11 Provincial / District
- Pakistan Social And Living Standards Measurement Survey (Pslm) 2004-05 Provincial / District
- Pakistan Social And Living Standards Measurement Survey (Pslm) 2006-07 Provincial / District
- Pakistan Social And Living Standards Measurement Survey (Pslm) 2008-09 Provincial / District
Plot # 21, Mauve Area, G-9/1, Islamabad, Pakistan
Mon – Fri: 8:30 am – 4:30 pm
Useful Statistics
Useful Links
PBS News & Updates
The latest Egovt news, articles, and resources, sent straight to your inbox every month.