1. Workshop on Improving the Integration of a Gender Perspective into Official Statistics 16 – 19 April, 2013 Chiba, Japan. Integrating Gender Statistics in Poverty Statistics Nepalese Experience - Bikash Bista Deputy Director General Central Bureau of Statistics

2. Outline of the Presentation Data source to poverty statistics Effort made to improve from gender perspective Poverty statistics with Gender disaggregation Few examples on gender responsive reforms by the government.

3. Sources of Data to generate poverty statistics 1. Nepal Living Standard Survey (NLSS): - NLSS -I in 1995/96 - NLSS -II in 2003/04 - NLSS -III in 2010/11 2. Nepal Labour force Survey (NLFS) - NLFS -I in 1998/99 - NLSS -II in 2008 3. Population and Housing Census Data: - Access to physical facilities 4. District Poverty Monitoring and Analysis System (DPMAS)

4. Effort made to improve from gender perspective Among other, Gender and social inclusive committee were formed comprising different stakeholders e.g., Women commission, MoWC, MoLD, MoH, MoE, Mo PA & C etc. In questionnaire preparatory stage discussions were held organizing stakeholders meeting in different part of the country. Separate instruction manuals from gender perspective were prepared for the supervisors and enumerators. The gender experts from outside CBS were invited to train the staff at different levels from centre to the field level.

5. In field work of the NLSS and NLFS, field teams were formed with including at least two female interviewers in each team. Where as in population census 40 % of the total field staff were selected from female. Main users of gender poverty statistics are national planning commission, MoWC, MoLD, MoH, MoE, MoPA & C, Women commission, Un women, NGOs, INGOs, etc. The demand for gender responsive statistics in more disaggregate level in term of geographical area, administrative units, Cast & ethnicity, religion, language, etc. being challenged to the CBS. Gender focused reports will be prepared and disseminated in separate volume from census data.

6. Head of household and food security indicators, 2010/11 Head of Household PovertyFood Poverty More than 75% share of expenditure on food Self reported, less than adequate consumption Male- headed house hold 26 % 23 % 15 %18 % Female- headed house hold 24 % 20 % 18 %21%

7. Age-gender of the Household Head Household Head Characteristics Poverty IncidenceDistribution Of the Population Head Count index Poverty Gap index Squared Poverty Gap Index Male, <= 25 Years24.495.411.821.9 Male (26-45) years 27.36.102.1032.9 Male, 46+ years24.295.071.6544.2 Female23.695.151.6921.0 Nepal25.165.431.81100.0

8. Food Security and Nutrition Household HeadUnder Nutrition Stunted ( in % ) Under Weight ( in % ) Wasted ( in % ) Female Headed Household 4530 11 Male Headed Household 463616 Female 4332.713.3 Male 40.129.614.1

9. Nutrition of Children of below 5 years Age Group ( month) Stunting Status (Height –for-Age) ( in % ) Under Weight Status (Weight -for- Age) ( in % ) Wasting Status (Weight -for-Height) ( in % ) BoysGirlsTotalBoysGirlsTotalBoysGirlsTotal 00 - 1112.413.813.116.2 17.716.924.122.023.1 12-2343.240.641.929.330.730.021.11819.7 24-3547.54747.230.633.832.29.910.610.3 36-4750.052.851.436.137.536.89.59.29.3 48- 5945.255.950.234.441.237.57.69.08.2 Nepal40.14341.529.632.731.114.113.313.7

10. Distribution of children by current activity status NLSS 2010/11 GenderSchool Only School & Work Work only Not Active Total Female48.541.34.85.4100 Male56.734.52.76.1100

11. Distribution of child workers by number of hours worked (during last 7 days) Gender1- 19 hours 20 – 39 hours 40 hours and above total Male75.517.47.1100 Female70.121.78.3100

12. Employment situation and related indicators NLSS 2010/11 Based on the Population 10+ years engaged in the work ( during last 7 days ) MaleFemaleNepal % of employed population 78.3 % of unemployed population 2.61.21.8 % of inactive population 19.120.619.9 Labor force participation Rate 80.979.480.1 Unemployment Rate 3.21.52.2

13. Unemployment Rate by Age Groups( during last 7 Days ) Age groupMaleFemaleNepal 10- 14 Years1.70.71.1 15-24 Years5.22.43.6 25 – 44 Years4.11.62.6 45 years and above1.60.91.3 Total3.21.52.2

14. Median daily wage in cash/kind received by wage earners ( in current NRs.) GenderAgriculture SectorNon-agriculture Sector CashKindCashKind Female1005012550 Male1505020050

15. Distribution of women involved in the household decision making Household Decisions Final Decision MeMy spouse BothOther In which school/collage the children send 14.115.656.314.0 How many children to have17.410.766.35.6 Spending on food28.112.648.610.8 Spending on major household items23.515.849.910.8 Selling household assets18.718.651.611.1 To take loans15.221.551.711.6 Which crops to grow20.412.353.114.2 How to use loans14.419.954.111.5 How to use remittance22.29.944.723.2 To migrate for employment8.517.848.225.5

16. Few examples on gender responsive reforms by the government The representation of the women in the parliament has increased from 6 to 33 percent. Establishment of MoWC, Women Commission, At least one female teacher in each primary school, Equal right on paternal property between son and daughter, social security allowances to the widow and single women. Etc. PHC- 2001 published that woman ownership on fixed property is only 5.5 % in house and 10.8 % in land. Policy to exempt on registration fees levied on transferring the ownership of the fixed property in women's name. The exemption is 25 % in urban areas and 30 % in the village.

17. Made provision in the civil service Acts, rules and regulations to increase the female participation. Women’s participation in the foreign employment has increased through the provision in the protection of the women’s right in foreign employment Acts. Women’s entry in the army made possible by amendment in the military service Act and police force. Citizenship card can be issued in the name of mother as well.

18. Thank you !