Impact Evaluation of PNPM Generasi Program 2009-2010, Third Wave
Indonesia, 2009 - 2010
Get Microdata
Reference ID
IDN_2009_PNPM_v01_M_v01_A_PUF
Producer(s)
Susan Wong, Junko Onishi, Ben Olken, Ministry of Home Affairs
Created on
Sep 04, 2012
Last modified
Sep 26, 2013
Page views
2763251
Downloads
9308954
- Data files
- A1_fin
- A2_fin
- A_DLA1TYPE_fin
- A_DLA2TYPE_fin
- A_DLA3TYPE_fin
- A_DLA23_fin
- A_fin
- A_KJ_fin
- B_AM_fin
- B_fin
- B_KJ_fin
- B_LG_fin
- B_OV_fin
- B_PG_fin
- B_PH02_fin
- B_PH03_fin
- B_PHTYPE_fin
- B_PK01_fin
- B_YK1TYPE_fin
- B_YK04_fin
- bcp02_95_fin
- bpg2type_v_cd_fin
- BS4_cd_fin
- BS4_DB_fin
- I_CH_fin
- i_fin
- I_KJ_fin
- I_RH07_fin
- I_RH13_fin
- I_RH19_fin
- I_RH23_fin
- K_AMP_fin
- K_fin
- K_JPTYPE_fin
- K_KJ_fin
- k_old
- K_PG2TYPE_fin
- K_PM_fin
- K_TK_fin
- KS6_DP_fin
- KS6_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_KJ_fin
- L_PAP_fin
- L_PD1TYPE_fin
- L_PD2TYPE_fin
- L_PD06_fin
- L_PG1TYPE_fin
- L_PG2TYPE_fin
- L_TRTYPE_fin
- P_CP_fin
- P_fin
- P_IP22_fin
- p_KF1TYPE_fin
- P_KF2TYPE_fin
- P_KF3TYPE_fin
- P_KG01TYPE_fin
- P_KG02TYPE_fin
- P_KJ_fin
- P_KP02_fin
- P_old
- P_OV_fin
- P_PG2TYPE_fin
- P_TKS04_fin
- P_TKSTYPE_fin
- r_aktype_fin
- R_AR_01_fin
- R_AR_18_fin
- R_AR_26_fin
- R_AR_40_fin
- R_AR_48_fin
- R_AR_53_fin
- R_fin
- R_GE_fin
- R_HR1TYPE_fin
- R_HR2TYPE_fin
- R_KJ_fin
- R_KS2TYPE_fin
- r_ma_fin
- R_old
- R_PG1TYPE_fin
- R_PG2TYPE_fin
- R_PM02_fin
- R_PM2TYPE_fin
- R_PM3TYPE_fin
- R_PM14_fin
- R_RJ1TYPE_fin
- R_RJ2TYPE_fin
- R_US_fin
- RR1_fin
- RR1_RR_fin
- RS2_DK_fin
- RS2_fin
- S_AS1TYPE_fin
- S_AS2TYPE_fin
- S_AW1TYPE_fin
- S_DS2TYPE_fin
- S_DS3TYPE_fin
- S_DS4TYPE_fin
- S_DS5TYPE_fin
- S_DS6TYPE_fin
- S_DS7TYPE_fin
- S_fin
- S_GR1TYPE_fin
- S_GR03_fin
- S_IRTYPE_fin
- S_KJ_fin
- S_MSTYPE_fin
- S_OLTYPE_fin
- S_PG1TYPE_fin
- SS5_DS_fin
- SS5_fin
- T_BM_fin
- T_fin
- T_IM1TYPE_fin
- T_IM13_fin
- T_KJ_fin
- T_NATYPE_fin
Suku terbesar ketiga (lid05c)
Data file: L_fin
Overview
Valid:
2856
Invalid:
0
Type:
Discrete
Start:
201
End:
235
Width:
35
Range:
-
Format:
character
Questions and instructions
Categories
| Value | Category | Cases | |
|---|---|---|---|
| ABANI | 1 |
0%
|
|
| ACEH | 2 |
0.1%
|
|
| AFAK | 1 |
0%
|
|
| AIHUA | 1 |
0%
|
|
| ALOR | 10 |
0.4%
|
|
| AMBALURA | 1 |
0%
|
|
| AMBASAN | 1 |
0%
|
|
| AMBON | 13 |
0.5%
|
|
| AMNATUN | 1 |
0%
|
|
| ANA MA ARI | 1 |
0%
|
|
| ANA MAARE | 1 |
0%
|
|
| ANA MAKULA | 1 |
0%
|
|
| ANA MALANGTA | 1 |
0%
|
|
| ANA MAWINI | 1 |
0%
|
|
| ANADONDO | 1 |
0%
|
|
| ANAKARIUNG | 1 |
0%
|
|
| ANAMALANTA | 1 |
0%
|
|
| ANAMBETE | 1 |
0%
|
|
| ANAMBURU | 1 |
0%
|
|
| ANANDEWA | 1 |
0%
|
|
| ANAWARU | 1 |
0%
|
|
| ANDU MANGILI | 1 |
0%
|
|
| ANGIN | 1 |
0%
|
|
| ANGKA | 1 |
0%
|
|
| ARAB | 13 |
0.5%
|
|
| ARAN | 1 |
0%
|
|
| ARIANA | 1 |
0%
|
|
| ASAMAH | 1 |
0%
|
|
| ATA SOGE | 1 |
0%
|
|
| ATAFOLOK | 1 |
0%
|
|
| ATAMUKIN | 1 |
0%
|
|
| ATAWOLO | 1 |
0%
|
|
| ATO | 1 |
0%
|
|
| ATTAKUNE | 1 |
0%
|
|
| ATULOLONG | 1 |
0%
|
|
| BAHAN TEWELU | 1 |
0%
|
|
| BAHANG | 1 |
0%
|
|
| BAHI | 1 |
0%
|
|
| BAJAWA | 2 |
0.1%
|
|
| BAJAWA-NGADA | 1 |
0%
|
|
| BAJO | 2 |
0.1%
|
|
| BALAGAR | 1 |
0%
|
|
| BALAWELING | 1 |
0%
|
|
| BALI | 21 |
0.7%
|
|
| BANGSAWAN | 1 |
0%
|
|
| BANTIK | 1 |
0%
|
|
| BAOLANGU | 1 |
0%
|
|
| BARAN | 1 |
0%
|
|
| BATAK | 146 |
5.1%
|
|
| BATAK & MADURA | 1 |
0%
|
|
| BATAK CINA | 2 |
0.1%
|
|
| BATAK DLL | 1 |
0%
|
|
| BATAK&MDURA | 1 |
0%
|
|
| BATAK1 | 1 |
0%
|
|
| BEAWI | 1 |
0%
|
|
| BEDA NAEN | 1 |
0%
|
|
| BEIDELO | 1 |
0%
|
|
| BEILE | 1 |
0%
|
|
| BELANG | 1 |
0%
|
|
| BELU | 2 |
0.1%
|
|
| BENU | 1 |
0%
|
|
| BETAWI | 23 |
0.8%
|
|
| BETAWI,SUNDA | 1 |
0%
|
|
| BIMA | 6 |
0.2%
|
|
| BIMA DOMPU | 1 |
0%
|
|
| BINTAUNA | 1 |
0%
|
|
| BISUBOA | 1 |
0%
|
|
| BITUNG | 1 |
0%
|
|
| BOLAANG MANGONDO | 1 |
0%
|
|
| BOLAANG MONGONDOW | 4 |
0.1%
|
|
| BOLMONG | 1 |
0%
|
|
| BOLMONG, GORONTALO, BUGIS | 1 |
0%
|
|
| BONDOKADELU | 1 |
0%
|
|
| BORGO | 1 |
0%
|
|
| BOTAN | 1 |
0%
|
|
| BOY | 1 |
0%
|
|
| BRAKEL | 1 |
0%
|
|
| BU KARENA | 1 |
0%
|
|
| BUDI ASE | 1 |
0%
|
|
| BUGIS | 57 |
2%
|
|
| BUGUS | 1 |
0%
|
|
| BUKUT | 1 |
0%
|
|
| BUMALERE | 1 |
0%
|
|
| BUNGA LALENG | 1 |
0%
|
|
| BUPUNG | 1 |
0%
|
|
| BUTON | 5 |
0.2%
|
|
| CAMPUR | 2 |
0.1%
|
|
| CAMPUR (FLORES, SUMATERA) | 1 |
0%
|
|
| CAMPUR/LAINNYA | 1 |
0%
|
|
| CAMPURAN | 6 |
0.2%
|
|
| CARA | 1 |
0%
|
|
| CAREP | 2 |
0.1%
|
|
| CHINA | 11 |
0.4%
|
|
| CHINA KETURUNAN | 1 |
0%
|
|
| CINA | 51 |
1.8%
|
|
| CINA ARAB | 1 |
0%
|
|
| CINA PADAND, MAKASAR | 1 |
0%
|
|
| COMPANG | 2 |
0.1%
|
|
| DADANG | 1 |
0%
|
|
| DAIDIPPI | 1 |
0%
|
|
| DAKOSTA | 1 |
0%
|
|
| DALORA | 1 |
0%
|
|
| DAMAKAT | 1 |
0%
|
|
| DAPUBEANG | 1 |
0%
|
|
| DAYAK | 2 |
0.1%
|
|
| DIAS PORA | 1 |
0%
|
|
| DIAZ ALFI | 1 |
0%
|
|
| DIKLELA | 1 |
0%
|
|
| DOMAKIN | 1 |
0%
|
|
| EMBU RAJA/LEJA | 1 |
0%
|
|
| EMBUBIPI | 1 |
0%
|
|
| EMBURAE | 1 |
0%
|
|
| ENDE | 3 |
0.1%
|
|
| FEHAN | 1 |
0%
|
|
| FERNANDES | 2 |
0.1%
|
|
| FLORED | 1 |
0%
|
|
| FLORES | 30 |
1.1%
|
|
| FLORES,PADANG,BATAK | 1 |
0%
|
|
| GAPUN | 1 |
0%
|
|
| GENDANG | 1 |
0%
|
|
| GEONG | 1 |
0%
|
|
| GOIG | 1 |
0%
|
|
| GOKOK | 1 |
0%
|
|
| GOLO WATU | 1 |
0%
|
|
| GOONTALO | 1 |
0%
|
|
| GORONTALO | 94 |
3.3%
|
|
| HABIGETE | 1 |
0%
|
|
| HAEKASE | 1 |
0%
|
|
| HALIMAKING | 1 |
0%
|
|
| HAYON | 2 |
0.1%
|
|
| HELAN | 1 |
0%
|
|
| HURINT | 2 |
0.1%
|
|
| HURIT | 1 |
0%
|
|
| INDIA | 1 |
0%
|
|
| INGUSUDI | 1 |
0%
|
|
| ISLAM | 1 |
0%
|
|
| ISMANA | 1 |
0%
|
|
| JAPIT | 1 |
0%
|
|
| JAWA | 125 |
4.4%
|
|
| JAWA TONDANO | 1 |
0%
|
|
| JAWA, DLL | 1 |
0%
|
|
| JAWA, GORONTALO | 1 |
0%
|
|
| JAWA,GORONTALO | 1 |
0%
|
|
| JAWA/BUGIS | 1 |
0%
|
|
| JEKE | 1 |
0%
|
|
| KABBA | 1 |
0%
|
|
| KABELA WUNTU WEI LAWA | 1 |
0%
|
|
| KABENNU | 1 |
0%
|
|
| KABULI | 1 |
0%
|
|
| KABUNU | 2 |
0.1%
|
|
| KADUMBUL | 1 |
0%
|
|
| KAFOTA | 1 |
0%
|
|
| KAHA | 1 |
0%
|
|
| KAHA KATODA | 1 |
0%
|
|
| KAILANG | 1 |
0%
|
|
| KAINDEPE | 1 |
0%
|
|
| KALESA | 1 |
0%
|
|
| KALIHA | 1 |
0%
|
|
| KALIKUR | 1 |
0%
|
|
| KALIMANTAN | 4 |
0.1%
|
|
| KAMBERA | 1 |
0%
|
|
| KANYAKU | 1 |
0%
|
|
| KAPITAN/APU KULUNG | 1 |
0%
|
|
| KAPUNDUNG | 1 |
0%
|
|
| KARAMBU | 1 |
0%
|
|
| KARINDING | 1 |
0%
|
|
| KARITA | 1 |
0%
|
|
| KARO | 1 |
0%
|
|
| KARUNGU WATU | 1 |
0%
|
|
| KAUSE | 1 |
0%
|
|
| KAVATAWATI | 1 |
0%
|
|
| KEBAKO PUKEN | 1 |
0%
|
|
| KEDANG | 1 |
0%
|
|
| KEFE | 1 |
0%
|
|
| KEHE | 1 |
0%
|
|
| KELEN | 1 |
0%
|
|
| KELI | 1 |
0%
|
|
| KENGE | 1 |
0%
|
|
| KENGLUK | 1 |
0%
|
|
| KERAF | 1 |
0%
|
|
| KETURUNAN CINA | 1 |
0%
|
|
| KILI | 1 |
0%
|
|
| KILOK | 1 |
0%
|
|
| KLOMALEI | 1 |
0%
|
|
| KLON | 1 |
0%
|
|
| KOBAN | 2 |
0.1%
|
|
| KODI | 2 |
0.1%
|
|
| KOLI WUHU | 1 |
0%
|
|
| KOLO | 1 |
0%
|
|
| KOMANGLAPAI | 1 |
0%
|
|
| KORHOGHEMBO | 1 |
0%
|
|
| KOTAMUBAGU | 1 |
0%
|
|
| KOTEN | 3 |
0.1%
|
|
| KUROUMANG | 1 |
0%
|
|
| LAIN | 2 |
0.1%
|
|
| LAIN-LAIN | 36 |
1.3%
|
|
| LAIN-LAIN(TIONGHOS,SUMATERA) | 1 |
0%
|
|
| LAINNYA | 18 |
0.6%
|
|
| LAINNYA(BUGIS, MELAYU) | 1 |
0%
|
|
| LAINNYA(SABU,PADANG,CHINA,BUGIS) | 1 |
0%
|
|
| LAINYA | 1 |
0%
|
|
| LAKOKA | 2 |
0.1%
|
|
| LAMA HEPA | 1 |
0%
|
|
| LAMA LEWAR | 1 |
0%
|
|
| LAMA PAHA | 1 |
0%
|
|
| LAMA RAJA | 1 |
0%
|
|
| LAMA RATU | 1 |
0%
|
|
| LAMA TEWELU | 1 |
0%
|
|
| LAMAHALA | 1 |
0%
|
|
| LAMAHOLOT | 1 |
0%
|
|
| LAMAK | 1 |
0%
|
|
| LAMAKERA LAMABLAWA | 1 |
0%
|
|
| LAMAKLEDEN | 1 |
0%
|
|
| LAMAPAHA | 1 |
0%
|
|
| LAMATOKAN | 1 |
0%
|
|
| LAMEN | 1 |
0%
|
|
| LAMURU | 1 |
0%
|
|
| LANGIMAJA | 1 |
0%
|
|
| LANGKERU | 1 |
0%
|
|
| LANGOBELEN | 1 |
0%
|
|
| LASAI MALAK | 1 |
0%
|
|
| LASER | 1 |
0%
|
|
| LEBUAN | 1 |
0%
|
|
| LECU | 1 |
0%
|
|
| LEIN | 1 |
0%
|
|
| LEKADULI | 1 |
0%
|
|
| LELANG ONA | 1 |
0%
|
|
| LELANG WAYAN | 1 |
0%
|
|
| LEMBATA | 1 |
0%
|
|
| LENGARI | 1 |
0%
|
|
| LENGIT | 1 |
0%
|
|
| LEULALENG | 1 |
0%
|
|
| LEULEA | 1 |
0%
|
|
| LEUTUBUNG | 1 |
0%
|
|
| LEWAR | 2 |
0.1%
|
|
| LEWOELENG | 1 |
0%
|
|
| LEWOKRO | 1 |
0%
|
|
| LEWOLAKO | 1 |
0%
|
|
| LEWONIRON | 1 |
0%
|
|
| LEYN | 1 |
0%
|
|
| LIMUNG | 1 |
0%
|
|
| LINGGIT | 1 |
0%
|
|
| LOBO | 1 |
0%
|
|
| LOMBOK | 1 |
0%
|
|
| LOURA | 1 |
0%
|
|
| LOWOTOBI | 1 |
0%
|
|
| LOWOTOLOK | 1 |
0%
|
|
| LUAR JAWA | 2 |
0.1%
|
|
| LUON | 1 |
0%
|
|
| MADUDO WALAI | 1 |
0%
|
|
| MADURA | 37 |
1.3%
|
|
| MAIBIKEH | 1 |
0%
|
|
| MAITIA | 1 |
0%
|
|
| MAKAMBIRU | 1 |
0%
|
|
| MAKASAR | 9 |
0.3%
|
|
| MAKASSAR | 1 |
0%
|
|
| MAKATA KERE | 1 |
0%
|
|
| MAKATYANG | 1 |
0%
|
|
| MALARI | 2 |
0.1%
|
|
| MALELAM | 1 |
0%
|
|
| MALI | 1 |
0%
|
|
| MALOWALAD | 1 |
0%
|
|
| MALUKU | 2 |
0.1%
|
|
| MANADO | 5 |
0.2%
|
|
| MANADO+MINAHASA | 1 |
0%
|
|
| MANDAR | 1 |
0%
|
|
| MANDATO | 1 |
0%
|
|
| MANEKA | 1 |
0%
|
|
| MANG TANA | 1 |
0%
|
|
| MANGAALENG | 1 |
0%
|
|
| MANGADOUW | 1 |
0%
|
|
| MANGKENG | 1 |
0%
|
|
| MANGUN LAJAR | 1 |
0%
|
|
| MANUK | 1 |
0%
|
|
| MANUS | 1 |
0%
|
|
| MARAN | 3 |
0.1%
|
|
| MARGASABU | 1 |
0%
|
|
| MARITU | 1 |
0%
|
|
| MARONGGA | 1 |
0%
|
|
| MARU | 1 |
0%
|
|
| MASIN | 1 |
0%
|
|
| MATALU | 3 |
0.1%
|
|
| MATARAM | 1 |
0%
|
|
| MATOLANG | 3 |
0.1%
|
|
| MAUMERE | 1 |
0%
|
|
| MAURE | 1 |
0%
|
|
| MAYUMBA | 1 |
0%
|
|
| MBARU CANGKAR | 1 |
0%
|
|
| MBARU DOR | 1 |
0%
|
|
| MBARU MESE | 1 |
0%
|
|
| MEDAN | 2 |
0.1%
|
|
| MEKON | 1 |
0%
|
|
| MELAYU | 12 |
0.4%
|
|
| MENGGIT | 2 |
0.1%
|
|
| MINAHASA | 53 |
1.9%
|
|
| MINANG | 8 |
0.3%
|
|
| MINANGKABAU | 2 |
0.1%
|
|
| MOKONI | 1 |
0%
|
|
| MONGONDAW | 1 |
0%
|
|
| MONGONDOW | 11 |
0.4%
|
|
| MUDA LAMALAKE | 1 |
0%
|
|
| MUDAJ | 1 |
0%
|
|
| MUKOR | 1 |
0%
|
|
| MUTE | 1 |
0%
|
|
| NANGA | 1 |
0%
|
|
| NARU | 1 |
0%
|
|
| NAWAR | 1 |
0%
|
|
| NDARA | 1 |
0%
|
|
| NEPA WANA | 1 |
0%
|
|
| NGALO | 1 |
0%
|
|
| NGEWUR | 1 |
0%
|
|
| NGGAI | 1 |
0%
|
|
| NIMUNUHO | 1 |
0%
|
|
| NINOSNAEN | 1 |
0%
|
|
| NIPA | 4 |
0.1%
|
|
| NIRON | 1 |
0%
|
|
| NONGOL | 1 |
0%
|
|
| NTB | 1 |
0%
|
|
| NTT | 2 |
0.1%
|
|
| NUNANG | 1 |
0%
|
|
| NURENGWALA | 1 |
0%
|
|
| OENAM | 1 |
0%
|
|
| OSING | 3 |
0.1%
|
|
| PADANG | 51 |
1.8%
|
|
| PADANG, JAWA | 1 |
0%
|
|
| PADAU | 1 |
0%
|
|
| PALAMIDU | 1 |
0%
|
|
| PALEMBANG | 3 |
0.1%
|
|
| PALI WALA | 1 |
0%
|
|
| PAPUA | 2 |
0.1%
|
|
| PASA | 1 |
0%
|
|
| PASAN | 2 |
0.1%
|
|
| PEGAOR | 1 |
0%
|
|
| PETEKENENG | 1 |
0%
|
|
| PODUK | 1 |
0%
|
|
| PONDO NGAENGO | 1 |
0%
|
|
| POPONG | 1 |
0%
|
|
| PUHU GELONG | 1 |
0%
|
|
| RACI | 1 |
0%
|
|
| RANG BELEN | 1 |
0%
|
|
| REDA | 1 |
0%
|
|
| REDO | 1 |
0%
|
|
| REWOT | 1 |
0%
|
|
| RIANG BELANG | 1 |
0%
|
|
| RIANG WULO | 1 |
0%
|
|
| RIBERU | 1 |
0%
|
|
| RITOWOLO | 1 |
0%
|
|
| ROTE | 18 |
0.6%
|
|
| ROWOREKE | 1 |
0%
|
|
| SABU | 17 |
0.6%
|
|
| SANGER | 17 |
0.6%
|
|
| SANGIHE | 2 |
0.1%
|
|
| SANGIR | 37 |
1.3%
|
|
| SANIK | 1 |
0%
|
|
| SAOATALAKI | 1 |
0%
|
|
| SHABU | 1 |
0%
|
|
| SITEMANG | 1 |
0%
|
|
| SOA | 1 |
0%
|
|
| SOGE | 1 |
0%
|
|
| SOGEN | 2 |
0.1%
|
|
| SONDA | 1 |
0%
|
|
| SONGGOLETA | 1 |
0%
|
|
| SUKU ANAWATU | 1 |
0%
|
|
| SUKU ARAN KOJA | 1 |
0%
|
|
| SUKU BAJO | 1 |
0%
|
|
| SUKU BALI | 1 |
0%
|
|
| SUKU BELU | 1 |
0%
|
|
| SUKU BORUK | 1 |
0%
|
|
| SUKU BUGIS | 2 |
0.1%
|
|
| SUKU BULURA | 1 |
0%
|
|
| SUKU COMPANG | 1 |
0%
|
|
| SUKU DEMONGOR | 1 |
0%
|
|
| SUKU DEMONLOK | 1 |
0%
|
|
| SUKU DUKUWATU | 1 |
0%
|
|
| SUKU FUTA | 1 |
0%
|
|
| SUKU HARI KUNDU | 1 |
0%
|
|
| SUKU HARING | 1 |
0%
|
|
| SUKU HURALEA | 1 |
0%
|
|
| SUKU JAWA | 2 |
0.1%
|
|
| SUKU KANGALI | 1 |
0%
|
|
| SUKU KISER | 1 |
0%
|
|
| SUKU KOBAN | 1 |
0%
|
|
| SUKU KOLO | 1 |
0%
|
|
| SUKU KOMBU | 1 |
0%
|
|
| SUKU KROWIN | 1 |
0%
|
|
| SUKU LABUNG | 1 |
0%
|
|
| SUKU LAMAJUO | 1 |
0%
|
|
| SUKU LANCANG | 1 |
0%
|
|
| SUKU LANGKAMING | 1 |
0%
|
|
| SUKU LIA | 1 |
0%
|
|
| SUKU LING | 1 |
0%
|
|
| SUKU LIWU | 1 |
0%
|
|
| SUKU LOLOKU | 1 |
0%
|
|
| SUKU MINAHASA | 1 |
0%
|
|
| SUKU NDOLU | 1 |
0%
|
|
| SUKU NDOSO | 1 |
0%
|
|
| SUKU NGARA | 1 |
0%
|
|
| SUKU NGAWE | 1 |
0%
|
|
| SUKU NTERLANGO | 1 |
0%
|
|
| SUKU PANGA | 1 |
0%
|
|
| SUKU PARONA BAKORO | 1 |
0%
|
|
| SUKU RANGGES | 1 |
0%
|
|
| SUKU ROGA | 1 |
0%
|
|
| SUKU RUMBU WULANG | 1 |
0%
|
|
| SUKU RUTENG | 1 |
0%
|
|
| SUKU SATOJOTO | 1 |
0%
|
|
| SUKU SOGE | 2 |
0.1%
|
|
| SUKU SOGEN | 1 |
0%
|
|
| SUKU SULAWESI | 1 |
0%
|
|
| SUKU TABUNDUNG | 1 |
0%
|
|
| SUKU TANI TUGA | 1 |
0%
|
|
| SUKU TEDEMAKING | 1 |
0%
|
|
| SUKU TEO | 1 |
0%
|
|
| SUKU TORE | 1 |
0%
|
|
| SUKU TUNGGA MBARU | 1 |
0%
|
|
| SUKU WADA LARU | 1 |
0%
|
|
| SUKU WAEBUKA | 1 |
0%
|
|
| SUKU WAJANG | 1 |
0%
|
|
| SUKU WEIKA WOLU | 1 |
0%
|
|
| SULAWESI | 2 |
0.1%
|
|
| SULAWESI(BUTON) | 1 |
0%
|
|
| SULAWESI, KALIMANTAN | 1 |
0%
|
|
| SUMATERA | 18 |
0.6%
|
|
| SUMATRA | 23 |
0.8%
|
|
| SUMATRA (BATAK) | 1 |
0%
|
|
| SUMBA | 8 |
0.3%
|
|
| SUMBA BARAT | 1 |
0%
|
|
| SUMBAWA | 1 |
0%
|
|
| SUNDA | 21 |
0.7%
|
|
| SUNDA DAN JAWA CAMPURAN | 1 |
0%
|
|
| SUNDA, BALI | 1 |
0%
|
|
| TABUNDUNG | 1 |
0%
|
|
| TAGA | 1 |
0%
|
|
| TALAUD | 1 |
0%
|
|
| TALAUT | 1 |
0%
|
|
| TALELO | 1 |
0%
|
|
| TALORA | 1 |
0%
|
|
| TANI WANGGE | 1 |
0%
|
|
| TANTUKA | 1 |
0%
|
|
| TAPUHAWAI | 1 |
0%
|
|
| TATIMBA | 1 |
0%
|
|
| TAWANG NAYA | 1 |
0%
|
|
| TB | 1263 |
44.2%
|
|
| TEFA | 1 |
0%
|
|
| TEFNAY | 1 |
0%
|
|
| TEMULAWAK | 1 |
0%
|
|
| TENGGER | 1 |
0%
|
|
| TERNATE | 2 |
0.1%
|
|
| TERNATE, GORONTALO | 1 |
0%
|
|
| THIONG HOA | 1 |
0%
|
|
| TIMOR | 15 |
0.5%
|
|
| TIMOR/AUTEAS | 1 |
0%
|
|
| TIMUR | 2 |
0.1%
|
|
| TIONG HOA | 4 |
0.1%
|
|
| TIONGHOA | 13 |
0.5%
|
|
| TIONGHOA/CINA | 1 |
0%
|
|
| TIONGHUA | 1 |
0%
|
|
| TISER | 1 |
0%
|
|
| TOA BULU | 1 |
0%
|
|
| TOBI | 1 |
0%
|
|
| TOMINI | 1 |
0%
|
|
| TONDANO | 1 |
0%
|
|
| TORAJA | 4 |
0.1%
|
|
| TORAJA, IRIAN | 1 |
0%
|
|
| TOTOK | 1 |
0%
|
|
| TUKAN SEDA | 1 |
0%
|
|
| TUMBUTARU | 1 |
0%
|
|
| TUNGAL | 1 |
0%
|
|
| UBI JIRING | 1 |
0%
|
|
| UBU MALEHA | 1 |
0%
|
|
| UBU MOTO | 1 |
0%
|
|
| UBULADO | 1 |
0%
|
|
| UDAK | 1 |
0%
|
|
| UJAN | 1 |
0%
|
|
| UJUNG PANDANG | 1 |
0%
|
|
| UMA BERU | 1 |
0%
|
|
| UMA MANDETA | 1 |
0%
|
|
| UMA MEKUL | 1 |
0%
|
|
| UMARIN | 1 |
0%
|
|
| UMBU DEDO | 1 |
0%
|
|
| UMBU KOBBA | 1 |
0%
|
|
| UMBU METE LANGGA | 1 |
0%
|
|
| UMBU NGEDO | 1 |
0%
|
|
| UMBU WANGO | 1 |
0%
|
|
| UMBU WARATA | 1 |
0%
|
|
| UMPOROA | 1 |
0%
|
|
| UNAGOLOG KWATUNOR | 1 |
0%
|
|
| UNBANU | 1 |
0%
|
|
| UP BATAN | 1 |
0%
|
|
| URAN | 1 |
0%
|
|
| URASIH | 1 |
0%
|
|
| URUNG | 1 |
0%
|
|
| USING | 2 |
0.1%
|
|
| WABOMANASAKO | 1 |
0%
|
|
| WAIGAWI | 1 |
0%
|
|
| WAIKAWOLU | 1 |
0%
|
|
| WAIN | 1 |
0%
|
|
| WAINUNGO | 1 |
0%
|
|
| WALING | 1 |
0%
|
|
| WALLU LANGADIMI | 1 |
0%
|
|
| WANGA | 1 |
0%
|
|
| WANGAK MULIN | 1 |
0%
|
|
| WATOKA RAMANG | 1 |
0%
|
|
| WATOWAI | 1 |
0%
|
|
| WAULANGUN | 1 |
0%
|
|
| WEE KAWA | 1 |
0%
|
|
| WEE LEWO | 1 |
0%
|
|
| WEE LONDA | 1 |
0%
|
|
| WEE NGGALI | 1 |
0%
|
|
| WEELEO | 1 |
0%
|
|
| WEI HOLA | 1 |
0%
|
|
| WEILANG | 1 |
0%
|
|
| WEIMORU | 1 |
0%
|
|
| WEKING | 1 |
0%
|
|
| WELAWA | 1 |
0%
|
|
| WELIMAYA | 1 |
0%
|
|
| WELOWA | 1 |
0%
|
|
| WERANG | 1 |
0%
|
|
| WERU | 1 |
0%
|
|
| WIDIN | 1 |
0%
|
|
| WILEGAYA | 1 |
0%
|
|
| WOLONIO | 1 |
0%
|
|
| WONGA | 1 |
0%
|
|
| WONGUN BELEN | 1 |
0%
|
|
| WUNGU BELEN | 1 |
0%
|
|
| WUNGUBELEN | 1 |
0%
|
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.