SCOPE OF COLLECTION OF VILLAGE –LEVEL DATA VIA 2003 AGRICULTURE CENSUS IN INDONESIA

1. SCOPE OF COLLECTION OF VILLAGE –LEVEL DATA VIA 2003 AGRICULTURE CENSUSIN INDONESIA PRESENTED BY PIETOJO * *) DEPUTY FOR DIRECTOR GENERAL FOR ECONOMIC STATISTICS, BPS-STATISTICS INDONESIA

2. Indonesia’ experience • BPS-Statistics Indonesia (BPS) always collect village-level data (PODES=Potensi Desa) in line with any censuses • Podes data collection is carried out 3X within one decade • Data collection of Podes is important because some data are not able to be collected from household = infrastructure & socio economic condition in village

3. Indonesia’ experience • Data from Podes is important need in order to create appropriate policy in village-level • The uses of Podes : • To identify poor villages for Presidential Aid For Poor Programme • To identify the level of conversion of agriculture land to non agriculture purpose • To provide data used to identify urban & rural

4. Scope • Podes was collected completely in August 2002 : • 68,816 villages • Including Transmigration Resettlement Units and Remote Ethnic Resettlement

5. Methodology • The enumerators conduct interviewing directly to Village Head or Staff Member of village Office entrusted to answer • The questionnaire used basically can be divided by two parts : 1. core data, which collected in every census 2. module data, which collected only in the implementation of a particular census

6. Type of Data Collected (1) • Identification of village • Population and Labor Force • Housing and Environment • Education • Health, Nutrition, Family Planning • Socio-culture • Recreation, Entertainment, Art and Sport Facilities • Communication and Information

7. Type of Data Collected (2) 09. Transportation 10. Land area and Land Use 11. Agriculture 12-. Agriculture Machineries 13. Trade and Industry 14. Village Income 15. Politic and Security 16. Village Officer Information

8. Problems • Sometimes respondent does not give correct answer, mostly political rreason • There is pressure from the Head of District to the Village Head to give false answers so that the performance of the village condition looks better • Respondent is afraid that the answer will be used to evaluate the development performance • Data collected in household-level should not be collected in village-level because it can give totally different picture that confuses data consumers

9. Comments on FAO Data Items (1) Geography : • The distance from village office to sub-district office • Pollution (water, land,air, noise) - Conversion of agriculture land to non agriculture purposes during the last three years

10. Comments on FAO Data Items (2) Socio-economic Conditions • Existence of agriculture skill training • Village Officers Information Community Infrastructure & Services - Number of agriculture establishment by type of activity

11. Analysis • Village –level data is used to identify poor villages by using 17 variables for urban and 18 variables for rural areas. Each variable is giving a score. In 2003 there were 22,094 villages are categorized poor • Data from village-level data is also used to compare the level of conversion of agriculture land to non-agriculture purposes for district level. Using simple method such as average, standard deviation, and range, districts are classified into 3 groups = high, medium, and low-level conversions

12. Thank You Very Much For Your Kind Attention