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Census and Technology: Case study in Pakistan Poverty Scorecard under the Sindh Union Council and Community Economic Strengthening Support (SUCCESS) Programme.

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Presentation on theme: "Census and Technology: Case study in Pakistan Poverty Scorecard under the Sindh Union Council and Community Economic Strengthening Support (SUCCESS) Programme."— Presentation transcript:

1 Census and Technology: Case study in Pakistan Poverty Scorecard under the Sindh Union Council and Community Economic Strengthening Support (SUCCESS) Programme NRSP - National Rural Support Prgramme

2 Outline  SUCCESS Programme  Poverty Scorecard Census  Census using android technology

3 SUCCESS Programme Objective  In 2008, the Government of Sindh (GoS) launched the Union Council Based Poverty Reduction Programme (UCBPRP) in four districts of Sindh through the Rural Support Programmes (RSPs) working in the province.  Comforted by the positive results achieved through the social mobilisation approach of RSPs to community driven development (CDD), GoS intends to scale up the programme  The overall objective of the SUCCESS Programme is to enable the GoS from 2018 to support and sustain local CDD initiatives throughout the province, through the provincial budget, based on a dedicated and costed policy in partnership with community institutions fostered by RSPs.  The specific objective is to stimulate local CDD initiatives to reduce poverty in eight poor rural districts of Sindh, paying particular attention to empowering women.  The SUCCESS Programme will lead to increased levels and diversified sources of income for the targeted communities and households.  The households will also be actively mobilised, especially via their female members, through formation of COs, VOs and LSOs.

4 Success Programme – Project Area  Sindh Province  District Larkana  District Kambar Shahdadkot  District Dadu  District Jamshoro  District Matiari  District Tando Allah Yar  District Tando Muhammad Khan  District Sujawal

5 SUCCESS Programme Expected Results 1.Approximately 770,000 rural households in eight districts mobilised and capacitated through people’s own organisations (CO/VO/LSOs) of which at least 70 per cent will continue to function effectively at the end of the project. 2.An average sustainable increase of poor household incomes by 30 per cent. 3.Increased economic and social services and community benefits from upgraded community infrastructures and productive assets operated and maintained with community involvement. 4.A dedicated Sindh Province policy and budget framework for community-driven local development implemented from 2018 onwards.

6 Poverty Score Card  A tool to determine poverty at household level  Already applied by BISP in 2010  RSPs using PSC since 2008 – also used for benchmarking in UCBPRP  Use of Android Devices to collect data PSC

7 Process for conducting PSC in SUCCESS Gathering Village / UC information Hiring of StaffTraining of Staff Logistical arrangements Work plan finalized Enumeration in Field and Uploading data to the server Analysis and reports Field Verification Administrative decision to accept / reject data Data finalized

8 PSC Census – Gathering Admin Data  One time collection of data form revenue department & Election Commission offices  Finalized Admin data for following levels  District  Taluka (Tehsil)  Union Council  Revenue Village  Forward campaigners prepare list of Goths / settlements on daily basis with estimated number of households by visiting each Goth / settlement and with the help of village elders / leaders  List of Goths / settlements is compiled at RV level and sent to data analyst at HO level  Data analyst uploads the list on server

9 PSC Census – Hiring staff  Hiring of Staff (Enumerators)  Advertising Vacancy  Shortlisting of experienced Enumerators  Test on android devices  Interviews of candidates who passed the test

10 PSC Census – Staff training  Training of enumerators  In-house training, elaborating all questions  Field practice  Review and feedback – training concluded  Daily feed back sessions before leaving the office for field  Enumerators given contract only after successfully completing the training

11 Team Structure Coordinator Monitoring Officer District Supervisor Admin (for logistics) Field Supervisor Enumeration Team Forward Campaigner Finance Officer IT team for application development and maintenance

12 PSC Census – Using Android Devices  Why using Android App?

13 Why on Android Device? It is beneficial in cost because it waves off massive printing & data entry

14 Why on Android Device? It gives results at day end rather than waiting for 2-3 weeks in paper based entry

15 Why on Android Device? Due to immediate results we can find better way to revise strategy to change any question or to add enumerators

16 Why on Android Device? If we have a questionnaire of around 70 pages, enumerator will carry at least 10 copies which means the weight equals to around 1.5 paper rim and a huge bag while in android he/she will take only tablet device

17 Why on Android Device? If we need to record GPS, tablet have built in gps device and record coordinates without typing or carrying extra device (GARMIN or ETREX worth of around 14000)

18 Why on Android Device? If we need to capture images, device have built in camera and no need to take external digital camera

19 Why on Android Device? 6.If we need to monitor, the duration of interviews, the technology does that for each interview and accordingly daily monitoring can be done.

20 Why on Android Device? Very important CAPI (Computer Assisted Personal Interview) techniques which focus the interviewer to insert correct information like proper CNIC No./Cell No/ Age etc

21 Why on Android Device? Device camera can also be used for Barcode /Q R code scanner to get CNIC number automatically rather than enter manually

22 Why on Android Device? We can add pictures / clipart to show the participants for scaling questions to elaborate to the illiterate community

23 Why on Android Device? Standard names / coding captured which helps in data analysis, rather than getting different spellings for single district/tehsil etc

24 Why on Android Device? No need to take separate calculator to calculate, all calculations can be done automatically during the questionnaire designing

25 PSC Census – Enumeration  Team supervisor daily issue android devices to each enumerator  They update the device to fetch census data up to settlement level from server  25 number of household covered on average per enumerator  Around 250 household covered on average per team  Data collected offline and uploaded at evening upon internet connectivity

26 PSC Census – Monitoring  A comprehensive monitoring report is being generated and circulated to management of all three RSPs including RSPN and district programme officers on daily basis  Process monitoring by District Programme Officers and District Monitoring Officer  Spot checking by MER manager  Physical verification of 2 to 5% forms

27 PSC Census – Monitoring (continued)  Progress / Monitoring reports consists following key indicators  No. of household covered against total and daily targets  No. of UCs/RVs covered  No. of UCs/RVs initiated / in progress  Poverty band wise no. of household  Planned date v/s projection end date

28 PSC Census – Monitoring (continued)  Min/Max/Mode/Average household size by enumerators/district/RSP  Min/Max/Mode/Average no. of household covered by enumerator  Min/Max/Mode/Average duration of form by enumerator  Poverty band wise no. of households by enumerator day wise

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31 PSC Census – Poverty status as of date (52% Census Completed)

32 No. of HHs –Progress ovearll %NO. OF HOUSEHOLDS 42% DistrictTarget HHs Covered HH % Covered Start date No. of Days Required Projection Date NRSP Tando Muhammad Khan 80,991 43,47254%26-02-16 12522-11-16 Sujawal 133,024 56,28642%25-03-16 16026-12-16 Tando Allahyar 83,533 53,56864%07-03-16 7603-10-16 Matiari 97,918 43,18044%25-03-16 14815-12-16 Sub-Total 395,466 196,50650%26-02-1626-12-16 SRSO Kamber Shahdadkot 184,140 53,27929%11-03-16 32409-06-17 Larkana 177,637 47,03526%21-03-16 33923-06-17 Sub-Total 361,777 100,31428%11-03-1623-06-17 TRDP Dadu 237,936 111,70047%07-04-16 11915-11-16 Jamshoro 103,686 49,23247%05-04-16 11815-11-16 Sub-Total 341,622 160,93247%05-04-16 215-11-16 Overall 1,098,865 457,75242%

33 Q & A

34 Thank You


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