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BY LAMIN L DIBBA GAMBIA BUREAU OF STATISTICS

POVERTY PROFILE OF THE GAMBIA Expert Group Meeting on Enhancing National Capacities of OIC Member Countries in Poverty Statistics on 07-08 August 2014 in Ankara, Turkey. BY LAMIN L DIBBA GAMBIA BUREAU OF STATISTICS. OUTLINE. - Poverty Studies / Assessments - Poverty Levels / Trends

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BY LAMIN L DIBBA GAMBIA BUREAU OF STATISTICS

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  1. POVERTY PROFILE OF THE GAMBIAExpert Group Meeting on Enhancing National Capacities of OIC Member Countries in Poverty Statistics on 07-08 August 2014 in Ankara, Turkey BY LAMIN L DIBBA GAMBIA BUREAU OF STATISTICS

  2. OUTLINE - Poverty Studies / Assessments - Poverty Levels / Trends - Poverty and active population - Challenges - Way Forward

  3. Poverty studies/assessments Four main such studies/assessments 1998 Food Poverty Study 2003 Integrated Household Survey 2008 Poverty Assessment 2010 Integrated Household Survey

  4. Poverty Levels/Trend • From the 1998 Food Poverty study, 69% of the population were registered to be poor. • Food poverty fell by 11 percentage points to 58% in 2003 (IHS 2003). • Overall poverty was 55.5% in 2008 (Poverty Assessment 2008). • In the IHS 2010, two thresholds were used: • <$1.00 per person per day , incidence of poverty was 36.7% and • <$1.25 per person per day , incidence of poverty was 48.4%

  5. Poverty Levels/Trend Depth of poverty increased for both thresholds between 2003 and 2010 (the two IHSs). For the <$1.00 threshold, depth of poverty increased from 20.8% in 2003 to 21.8% in 2010 The corresponding figures for the upper poverty line are 25.1 per cent and 27.9

  6. Poverty Levels/Trend According to the 2010 IHS, the incidence and depth of poverty is lower for female headed households. 38% of female headed households live under less than 1.25 dollar per day compared to 50.9% of male headed households For <$1.00 threshold, the corresponding figures are 28.2% and 38.8% respectively

  7. Poverty and the active population

  8. CHALLENGES Key challenges of poverty measurement are: Data problem (Quality) Finance Human capacity

  9. Data Problem • Data availability • Data collection issues • Coverage issues • Content issues • Responses about income are inaccurate • Data management issues

  10. Financial issues No set budget for conducting poverty studies Done only when requested, usually within work programs of UNDP Expansion of the scope and coverage of future poverty studies i.e Increase sample size. Lack of funds for specialized training of local persons in poverty studies and analysis. Improve incentive for sustenance of highly trained and qualified persons.

  11. Human capacity issues There is no capacity within the system for poverty analysis The previous studies/assessments were done by outside experts No proper transfer of knowledge Attrition of the few with some sort of skills

  12. Way forward • Internal efforts are required for: • Improving the data quality • Improving data availability • Improving the understanding level of respondents on the need for accurate data • External efforts are required for: • Short term capacity improvement in poverty analysis • Long term training of personnel in poverty measurement and analysis • Assisting in maintaining the capacity: retention

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