Impact Evaluation of PNPM Generasi Program 2007, First Wave, Baseline Survey
Indonesia, 2007
Get Microdata
Reference ID
IDN_2007_PNPM_v01_M
Producer(s)
Susan Wong, Junko Onishi, Ben Olken, Ministry of Home Affairs
Created on
Aug 30, 2012
Last modified
Sep 26, 2013
Page views
778653
Downloads
1372456
- Data files
- A_DLA1TYPE_fin
- A_DLA2TYPE_fin
- A_DLA23_fin
- A_fin
- AA_fin
- AB_fin
- AC_fin
- AD_fin
- B_AM_fin
- B_fin
- B_LG_fin
- B_OV_fin
- B_PH02_fin
- B_PHTYPE_fin
- B_YK1TYPE_fin
- B_YK04_fin
- I_CH_fin
- I_fin
- I_RH07_fin
- I_RH13_fin
- I_RH19_fin
- I_RH23_fin
- L_AS1TYPE_fin
- L_DN_fin
- L_fin
- L_FKS1TYPE_fin
- L_FKS2TYPE_fin
- L_FPD04_fin
- L_FPDTYPE_fin
- L_GE_fin
- L_KE_fin
- L_PD_fin
- L_TR_fin
- P_fin
- P_IP22_fin
- P_KF1TYPE_fin
- P_KF2TYPE_fin
- P_KF3TYPE_fin
- p_kgtype_fin
- P_KP_fin
- P_old
- P_OV_fin
- p_tks04_fin
- p_tks_083601_fin
- P_TKSTYPE_fin
- R_AKTYPE_fin
- R_AR_01_fin
- R_AR_18_fin
- R_AR_26_fin
- R_AR_40_fin
- R_fin
- R_GE_fin
- R_HR1TYPE_fin
- R_HR2TYPE_fin
- R_KS1TYPE_fin
- R_KS2TYPE_fin
- R_PM02_fin
- R_PM2TYPE_fin
- R_PM14_fin
- R_RJ1TYPE_fin
- R_RJ2TYPE_fin
- R_SB03_fin
- S_AS1TYPE_fin
- S_AW1TYPE_fin
- S_DS2TYPE_fin
- S_DS3TPE_fin
- S_DS5TYPE_fin
- S_DS4TYPE_fin
- S_DS6TYPE_fin
- S_fin
- S_GR1TYPE_fin
- S_GR03_fin
- S_IRTYPE_fin
- S_MSTYPE_fin
- T_fin
- T_IM1TYPE_fin
- T_IM13_fin
- T_NATYPE_fin
Uraian KODE bahasa lain yang digunakan dalam wawancara (icp02_95)
Data file: I_fin
Overview
Valid:
341
Invalid:
0
Type:
Discrete
Start:
297
End:
311
Width:
15
Range:
-
Format:
character
Questions and instructions
Categories
| Value | Category | Cases | |
|---|---|---|---|
| ADONARA BARAT | 1 |
0.3%
|
|
| ANAKALANG | 5 |
1.5%
|
|
| BAHASA ENDE | 1 |
0.3%
|
|
| BAHASA TIMOR | 1 |
0.3%
|
|
| DAWAN | 6 |
1.8%
|
|
| ENDE | 33 |
9.7%
|
|
| ENDE LIO | 2 |
0.6%
|
|
| FLORES | 4 |
1.2%
|
|
| INDRAMAYU | 22 |
6.5%
|
|
| KANGELI | 1 |
0.3%
|
|
| KEDANG | 4 |
1.2%
|
|
| KODI | 1 |
0.3%
|
|
| LAMA HOLOT | 1 |
0.3%
|
|
| LAMAHOLOT | 7 |
2.1%
|
|
| LAMBOYA | 3 |
0.9%
|
|
| LIO | 19 |
5.6%
|
|
| MADURA | 1 |
0.3%
|
|
| MAKATAKERI | 1 |
0.3%
|
|
| MANGGARAI | 3 |
0.9%
|
|
| MARA DESA | 1 |
0.3%
|
|
| MAUMERE | 1 |
0.3%
|
|
| MAUMERE/SIKKA | 1 |
0.3%
|
|
| MBOJO | 1 |
0.3%
|
|
| MELAYU | 1 |
0.3%
|
|
| MINAHASA | 3 |
0.9%
|
|
| MONGONDOW | 1 |
0.3%
|
|
| MUHANG | 1 |
0.3%
|
|
| NGGAHA ORI ANGU | 1 |
0.3%
|
|
| NGGAHA ORIANGU | 3 |
0.9%
|
|
| OSING | 1 |
0.3%
|
|
| ROTE | 37 |
10.9%
|
|
| SANGER | 1 |
0.3%
|
|
| SANGIR | 3 |
0.9%
|
|
| SIKKA | 15 |
4.4%
|
|
| SORU | 2 |
0.6%
|
|
| SUMBA | 34 |
10%
|
|
| TIMOR | 107 |
31.4%
|
|
| TIMOR DAWAN | 6 |
1.8%
|
|
| TIMOR PAPA | 1 |
0.3%
|
|
| TOMOR | 1 |
0.3%
|
|
| WAIJEWA | 1 |
0.3%
|
|
| WANOKAKA | 1 |
0.3%
|
|
| WEWEWA BARAT | 1 |
0.3%
|
Warning: these figures indicate the number of cases found in the data file. They cannot be interpreted as summary statistics of the population of interest.