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
2770914
Downloads
9309430
- 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 kedua (lid05b)
Data file: L_fin
Overview
Valid:
5041
Invalid:
0
Type:
Discrete
Start:
163
End:
197
Width:
35
Range:
-
Format:
character
Questions and instructions
Categories
| Value | Category | Cases | |
|---|---|---|---|
| ABOIC | 1 |
0%
|
|
| ACEH | 1 |
0%
|
|
| ADAPA | 1 |
0%
|
|
| ADETUK | 1 |
0%
|
|
| AILELANG | 1 |
0%
|
|
| ALAKOKA | 1 |
0%
|
|
| ALOKAWATI | 1 |
0%
|
|
| ALOR | 9 |
0.2%
|
|
| AMBON | 4 |
0.1%
|
|
| AMNUBAN | 2 |
0%
|
|
| ANA MACUA | 1 |
0%
|
|
| ANA MAWAWA | 1 |
0%
|
|
| ANA WARU | 1 |
0%
|
|
| ANAKARIUNG | 1 |
0%
|
|
| ANALOGH0 | 1 |
0%
|
|
| ANAMALANGTA | 1 |
0%
|
|
| ANAMBETE | 1 |
0%
|
|
| ANANGGELA | 1 |
0%
|
|
| ANASENDA | 1 |
0%
|
|
| ANAWANGGE | 1 |
0%
|
|
| ANAWARU | 4 |
0.1%
|
|
| APELAMEN | 1 |
0%
|
|
| ARAB | 13 |
0.3%
|
|
| ASELIT | 1 |
0%
|
|
| ATA UJAN | 1 |
0%
|
|
| ATALAJAR | 1 |
0%
|
|
| ATARODANG | 1 |
0%
|
|
| ATAWOLO | 1 |
0%
|
|
| BAHI | 1 |
0%
|
|
| BAJAWA | 4 |
0.1%
|
|
| BAJO | 2 |
0%
|
|
| BALI | 7 |
0.1%
|
|
| BALI DONA | 1 |
0%
|
|
| BANA | 1 |
0%
|
|
| BAOLANGU | 1 |
0%
|
|
| BAONG | 1 |
0%
|
|
| BARAI | 1 |
0%
|
|
| BARAK | 1 |
0%
|
|
| BASAVA | 1 |
0%
|
|
| BATAK | 29 |
0.6%
|
|
| BATAK DAN JAWA | 1 |
0%
|
|
| BATAK, JAWA, LAINNYA | 1 |
0%
|
|
| BEINDELO | 1 |
0%
|
|
| BEING | 1 |
0%
|
|
| BEJAWA | 2 |
0%
|
|
| BELU | 2 |
0%
|
|
| BELUTOWE | 1 |
0%
|
|
| BETAWI | 18 |
0.4%
|
|
| BETEKENE | 1 |
0%
|
|
| BIKAR | 1 |
0%
|
|
| BIMA | 6 |
0.1%
|
|
| BOBO BUKA | 1 |
0%
|
|
| BOIMAU | 1 |
0%
|
|
| BOKIMNASI | 1 |
0%
|
|
| BOLAANG MONGONDOW | 5 |
0.1%
|
|
| BOLAMANGANDU | 1 |
0%
|
|
| BOLAMONGONDO | 1 |
0%
|
|
| BOLANGO | 2 |
0%
|
|
| BOLMONG | 1 |
0%
|
|
| BOLO AWAQ | 1 |
0%
|
|
| BONDO UKKA | 1 |
0%
|
|
| BUBUN | 1 |
0%
|
|
| BUDI KAE | 1 |
0%
|
|
| BUGIS | 55 |
1.1%
|
|
| BUGIS-MAKASSAR | 1 |
0%
|
|
| BUKAREGHA | 1 |
0%
|
|
| BUKKAKERA | 1 |
0%
|
|
| BUTON | 6 |
0.1%
|
|
| BUUGIS | 1 |
0%
|
|
| CABO | 1 |
0%
|
|
| CAMPURAN | 9 |
0.2%
|
|
| CEPAK | 1 |
0%
|
|
| CEPANG | 1 |
0%
|
|
| CEUN FIN | 1 |
0%
|
|
| CHINA | 14 |
0.3%
|
|
| CINA | 33 |
0.7%
|
|
| CINA/TIONGHOA | 1 |
0%
|
|
| COREBIMA | 1 |
0%
|
|
| DANGA LATUK | 1 |
0%
|
|
| DANGKA | 1 |
0%
|
|
| DANGO | 1 |
0%
|
|
| DAPAROKO | 1 |
0%
|
|
| DARI LESO | 1 |
0%
|
|
| DARI MORE | 1 |
0%
|
|
| DAYAK | 2 |
0%
|
|
| DEKO | 1 |
0%
|
|
| DEONA | 1 |
0%
|
|
| DIAZ | 2 |
0%
|
|
| EMBU NGGOWA | 1 |
0%
|
|
| EMBULABA | 1 |
0%
|
|
| ENDE | 3 |
0.1%
|
|
| ETNIS CINA | 1 |
0%
|
|
| FERNANDES | 1 |
0%
|
|
| FLORES | 34 |
0.7%
|
|
| FLORES TIMUR | 3 |
0.1%
|
|
| GAJON | 1 |
0%
|
|
| GELEN | 1 |
0%
|
|
| GOGO PUN | 1 |
0%
|
|
| GORONTALO | 68 |
1.3%
|
|
| GUSA | 1 |
0%
|
|
| HAMAP | 1 |
0%
|
|
| HAYON | 1 |
0%
|
|
| HEKIN | 1 |
0%
|
|
| HENAKIN | 1 |
0%
|
|
| HORIT | 1 |
0%
|
|
| HUKUNG/LALANG KISU | 1 |
0%
|
|
| IBILA | 1 |
0%
|
|
| ILE APE | 1 |
0%
|
|
| INGUSUDI | 1 |
0%
|
|
| JAW | 1 |
0%
|
|
| JAWA | 1102 |
21.9%
|
|
| JAWA BARAT | 1 |
0%
|
|
| JAWA DAN LAIN-LAIN | 1 |
0%
|
|
| JAWA DAN SUMATRA | 1 |
0%
|
|
| JAWA INDRAMAYU | 1 |
0%
|
|
| JAWA KEDIRI,MINAHASA,JAWA TONDANO | 1 |
0%
|
|
| JAWA OSING | 1 |
0%
|
|
| JAWA TENGAH | 2 |
0%
|
|
| JAWA TONDANO | 9 |
0.2%
|
|
| JAWA TONDANO (JAWA) | 1 |
0%
|
|
| JAWA, BUGIS, MALUKU | 1 |
0%
|
|
| JAWA, MELAYU | 1 |
0%
|
|
| JAWA, SUMATERA | 1 |
0%
|
|
| JAWA,BATAK | 1 |
0%
|
|
| JAWA,MADURA,BETAWI | 1 |
0%
|
|
| JAWA,MINAHASA,BUGIS | 1 |
0%
|
|
| JAWATENGAH | 1 |
0%
|
|
| JJAWA | 1 |
0%
|
|
| KABISU PAWUNGO | 1 |
0%
|
|
| KABURU | 1 |
0%
|
|
| KADENGARA | 1 |
0%
|
|
| KADUMBUL | 1 |
0%
|
|
| KAE | 1 |
0%
|
|
| KAFOMAI | 1 |
0%
|
|
| KAHA KATODA | 1 |
0%
|
|
| KAIDIPANG | 2 |
0%
|
|
| KAILI | 1 |
0%
|
|
| KALIMANTAN | 3 |
0.1%
|
|
| KAMANDALOARANG | 1 |
0%
|
|
| KANJANGALUKU | 1 |
0%
|
|
| KANJANGI | 1 |
0%
|
|
| KANJANGLUKU | 1 |
0%
|
|
| KANYAKU | 1 |
0%
|
|
| KAOL NANGOL | 1 |
0%
|
|
| KAPITAN BELAN | 1 |
0%
|
|
| KAPURU | 1 |
0%
|
|
| KARETANA | 1 |
0%
|
|
| KARGITA | 1 |
0%
|
|
| KARU BELLA | 1 |
0%
|
|
| KARUNGGU WATU | 1 |
0%
|
|
| KARWAYU | 1 |
0%
|
|
| KEBINGIN | 1 |
0%
|
|
| KELE | 1 |
0%
|
|
| KELEDEN | 1 |
0%
|
|
| KELEN | 2 |
0%
|
|
| KELO | 1 |
0%
|
|
| KEMPO | 1 |
0%
|
|
| KENATANG | 2 |
0%
|
|
| KENI | 1 |
0%
|
|
| KERAF | 2 |
0%
|
|
| KETMOEN | 1 |
0%
|
|
| KETURUNAN | 1 |
0%
|
|
| KINA | 1 |
0%
|
|
| KIWANG TABUN | 1 |
0%
|
|
| KLAES | 1 |
0%
|
|
| KLOBONG ONA | 1 |
0%
|
|
| KLONG | 1 |
0%
|
|
| KLOWANGANANG | 1 |
0%
|
|
| KOA | 1 |
0%
|
|
| KOBE FLORES | 1 |
0%
|
|
| KOKO MAKING | 1 |
0%
|
|
| KOLING | 1 |
0%
|
|
| KOLOMOCO | 1 |
0%
|
|
| KOMBO | 1 |
0%
|
|
| KOMBU | 2 |
0%
|
|
| KOTEN | 1 |
0%
|
|
| KRESAJ | 2 |
0%
|
|
| KRUZ | 1 |
0%
|
|
| KULU | 1 |
0%
|
|
| KUROW | 1 |
0%
|
|
| KWAGLAGA | 1 |
0%
|
|
| LABAPU | 1 |
0%
|
|
| LAIN | 2 |
0%
|
|
| LAIN-LAIN | 43 |
0.9%
|
|
| LAIN-LAIN (JAWA, MAKASAR, DLL) | 1 |
0%
|
|
| LAIN-LAIN(MADURA DAN AMBON) | 1 |
0%
|
|
| LAINNYA | 26 |
0.5%
|
|
| LAINNYA(JAWA) | 1 |
0%
|
|
| LAINYA | 1 |
0%
|
|
| LAKONAWA | 1 |
0%
|
|
| LAMA DUA | 1 |
0%
|
|
| LAMA MERE | 1 |
0%
|
|
| LAMA ROBEK | 1 |
0%
|
|
| LAMA TOKAN | 2 |
0%
|
|
| LAMADOKEN | 1 |
0%
|
|
| LAMAHALA | 1 |
0%
|
|
| LAMAHOLOT | 1 |
0%
|
|
| LAMAKERA | 1 |
0%
|
|
| LAMAKLEDE | 1 |
0%
|
|
| LAMARONI | 1 |
0%
|
|
| LAMATOKAN | 1 |
0%
|
|
| LAMAWITAK | 1 |
0%
|
|
| LAMAWURANG | 1 |
0%
|
|
| LAMBA | 1 |
0%
|
|
| LAME MAKING | 1 |
0%
|
|
| LAMPUNG | 1 |
0%
|
|
| LANDE | 1 |
0%
|
|
| LANGARE | 1 |
0%
|
|
| LANGO ARANG | 1 |
0%
|
|
| LANNYA | 1 |
0%
|
|
| LASAR | 1 |
0%
|
|
| LAWERANG | 1 |
0%
|
|
| LEBALA | 1 |
0%
|
|
| LEBAN | 1 |
0%
|
|
| LEBAU | 1 |
0%
|
|
| LEDA | 1 |
0%
|
|
| LELANG AYA | 1 |
0%
|
|
| LELANG UNG | 1 |
0%
|
|
| LENGGIT | 3 |
0.1%
|
|
| LENTE | 1 |
0%
|
|
| LEUBATAN | 1 |
0%
|
|
| LEUOBI | 1 |
0%
|
|
| LEWAR | 1 |
0%
|
|
| LEWATA | 2 |
0%
|
|
| LEWO LEIN | 1 |
0%
|
|
| LEWOKEDAK | 1 |
0%
|
|
| LEWOLEBA | 1 |
0%
|
|
| LEWOLIA | 1 |
0%
|
|
| LEWOTAPO | 1 |
0%
|
|
| LIMAN | 1 |
0%
|
|
| LIO | 4 |
0.1%
|
|
| LIWU | 1 |
0%
|
|
| LIYO | 1 |
0%
|
|
| LOLA | 1 |
0%
|
|
| LOLO BALI | 1 |
0%
|
|
| LOLODA | 1 |
0%
|
|
| LOMBO | 1 |
0%
|
|
| LOMBOK | 2 |
0%
|
|
| LOURA | 1 |
0%
|
|
| LOWA | 1 |
0%
|
|
| LUAR JAWA | 1 |
0%
|
|
| LUKU TANA | 1 |
0%
|
|
| LUKUTANA | 1 |
0%
|
|
| MABUR | 1 |
0%
|
|
| MADURA | 303 |
6%
|
|
| MADURA,CINA | 1 |
0%
|
|
| MAHARIA | 1 |
0%
|
|
| MAIKEMENG | 1 |
0%
|
|
| MAKASAR | 6 |
0.1%
|
|
| MAKASSAR | 1 |
0%
|
|
| MAKATA KERI | 2 |
0%
|
|
| MAKI | 1 |
0%
|
|
| MAKIRI | 2 |
0%
|
|
| MALARI | 1 |
0%
|
|
| MALI | 1 |
0%
|
|
| MALINJAK | 1 |
0%
|
|
| MALUKU | 1 |
0%
|
|
| MANADO | 5 |
0.1%
|
|
| MANETA | 1 |
0%
|
|
| MANGACI | 1 |
0%
|
|
| MANGACU | 1 |
0%
|
|
| MANGGARAI | 1 |
0%
|
|
| MANGLOLONG | 1 |
0%
|
|
| MANGONDOW | 1 |
0%
|
|
| MANOLANG | 1 |
0%
|
|
| MANUK | 1 |
0%
|
|
| MARAN | 1 |
0%
|
|
| MARAPATI | 1 |
0%
|
|
| MARASANO | 1 |
0%
|
|
| MARAU | 1 |
0%
|
|
| MATALU | 1 |
0%
|
|
| MATARAU | 1 |
0%
|
|
| MATERAU | 1 |
0%
|
|
| MATOLANG | 6 |
0.1%
|
|
| MATOLANG MAKATAKERE | 1 |
0%
|
|
| MAULEI SUBOBAK | 1 |
0%
|
|
| MAUMERE | 1 |
0%
|
|
| MAYELI | 1 |
0%
|
|
| MBARADITA | 1 |
0%
|
|
| MBARU GOLO | 1 |
0%
|
|
| MBARU MESE | 1 |
0%
|
|
| MBOTI | 1 |
0%
|
|
| MBURA LAE | 1 |
0%
|
|
| MBURALAE | 1 |
0%
|
|
| MELAYU | 4 |
0.1%
|
|
| MENI | 1 |
0%
|
|
| MERUNG MULIN | 1 |
0%
|
|
| MINAHASA | 93 |
1.8%
|
|
| MINAHASA DAN SANGIR | 1 |
0%
|
|
| MINANG, SUNDA, MADURA | 1 |
0%
|
|
| MOKO | 1 |
0%
|
|
| MONGONDO | 1 |
0%
|
|
| MONGONDOW | 11 |
0.2%
|
|
| MOPOTA | 1 |
0%
|
|
| MOUDANI | 1 |
0%
|
|
| MUDA | 1 |
0%
|
|
| MUDA RAE | 1 |
0%
|
|
| MURUWUDA | 1 |
0%
|
|
| NABO METAN | 1 |
0%
|
|
| NAGE | 1 |
0%
|
|
| NARIK | 1 |
0%
|
|
| NATI | 1 |
0%
|
|
| NATUN | 1 |
0%
|
|
| NDONDO | 1 |
0%
|
|
| NEPA WAWO | 1 |
0%
|
|
| NGALAK | 1 |
0%
|
|
| NGANTAS | 1 |
0%
|
|
| NGAWAN | 1 |
0%
|
|
| NGGONGGO WANGGE | 1 |
0%
|
|
| NINAMUHO | 1 |
0%
|
|
| NINO | 1 |
0%
|
|
| NIPA | 1 |
0%
|
|
| NIPPA | 1 |
0%
|
|
| NTT | 2 |
0%
|
|
| OLE PUE | 1 |
0%
|
|
| OLIN | 1 |
0%
|
|
| ONAM | 1 |
0%
|
|
| ONGENULANG | 1 |
0%
|
|
| ONGOLOLONG | 1 |
0%
|
|
| OROQ WALA | 1 |
0%
|
|
| OSENG | 1 |
0%
|
|
| OSING | 1 |
0%
|
|
| PADANG | 10 |
0.2%
|
|
| PADANG+MALUKU | 1 |
0%
|
|
| PAHOKA | 1 |
0%
|
|
| PAITELAR | 1 |
0%
|
|
| PALA MEBO | 1 |
0%
|
|
| PANGING | 1 |
0%
|
|
| PARA BUHU | 1 |
0%
|
|
| PARAI MAJANGGA | 1 |
0%
|
|
| PAREKA | 1 |
0%
|
|
| PAUN | 1 |
0%
|
|
| PAWUNGU | 1 |
0%
|
|
| PEJEK | 1 |
0%
|
|
| PEOHAQ | 1 |
0%
|
|
| PEUBOLENG | 1 |
0%
|
|
| PONCO | 1 |
0%
|
|
| PONDO KEDELU | 1 |
0%
|
|
| PONDOK | 1 |
0%
|
|
| PRADJARIK | 1 |
0%
|
|
| PRAI KAYIMBI | 1 |
0%
|
|
| PRAIMAJANGA | 1 |
0%
|
|
| PUHO | 1 |
0%
|
|
| PUPUNG | 1 |
0%
|
|
| PURA | 1 |
0%
|
|
| PURWA | 1 |
0%
|
|
| RADU | 1 |
0%
|
|
| RANG BELEN | 1 |
0%
|
|
| RANGGA BAKI | 1 |
0%
|
|
| RATENGGARO | 1 |
0%
|
|
| RATU | 1 |
0%
|
|
| RATU LOLE | 1 |
0%
|
|
| RATUNG | 1 |
0%
|
|
| RIANG HEPAT | 2 |
0%
|
|
| RIANGKEHE | 1 |
0%
|
|
| RITAN | 1 |
0%
|
|
| ROTE | 20 |
0.4%
|
|
| RUWING | 1 |
0%
|
|
| SABGER SIAU | 1 |
0%
|
|
| SABU | 29 |
0.6%
|
|
| SABU/ROTE | 1 |
0%
|
|
| SALEM | 1 |
0%
|
|
| SAMBAS | 2 |
0%
|
|
| SANGA | 1 |
0%
|
|
| SANGER | 41 |
0.8%
|
|
| SANGIER | 2 |
0%
|
|
| SANGIHE | 4 |
0.1%
|
|
| SANGIHE TALAUD | 2 |
0%
|
|
| SANGIHE TALAVO | 2 |
0%
|
|
| SANGIHE/SANGIR | 1 |
0%
|
|
| SANGIR | 92 |
1.8%
|
|
| SANGIR TALAUD | 2 |
0%
|
|
| SANGIR+KAILI | 1 |
0%
|
|
| SANGIR/TALAUD | 1 |
0%
|
|
| SANIK | 1 |
0%
|
|
| SAOATAROBO | 1 |
0%
|
|
| SASAK | 1 |
0%
|
|
| SATAL | 1 |
0%
|
|
| SIAU | 1 |
0%
|
|
| SIKA | 1 |
0%
|
|
| SIKKA PALUE | 1 |
0%
|
|
| SINAREK | 1 |
0%
|
|
| SINGHETA LAUT | 1 |
0%
|
|
| SITA | 1 |
0%
|
|
| SOI | 1 |
0%
|
|
| SONGGEK | 1 |
0%
|
|
| SONI | 1 |
0%
|
|
| SONLAY FETO | 1 |
0%
|
|
| SUAWEY KOY | 1 |
0%
|
|
| SUKU BIMA | 1 |
0%
|
|
| SUKU BORO | 1 |
0%
|
|
| SUKU DEONA | 1 |
0%
|
|
| SUKU DETUNIO | 1 |
0%
|
|
| SUKU DOMAKING | 1 |
0%
|
|
| SUKU ELO | 1 |
0%
|
|
| SUKU FLORES | 1 |
0%
|
|
| SUKU GORONTALO | 2 |
0%
|
|
| SUKU HARU KUNDU | 1 |
0%
|
|
| SUKU IRI | 1 |
0%
|
|
| SUKU JAWA | 4 |
0.1%
|
|
| SUKU KACA | 1 |
0%
|
|
| SUKU KALAWUA | 1 |
0%
|
|
| SUKU KAONARA | 1 |
0%
|
|
| SUKU KUMBA | 1 |
0%
|
|
| SUKU LA'I | 1 |
0%
|
|
| SUKU LAIN (FLORES) | 1 |
0%
|
|
| SUKU LAMAHOLOT | 1 |
0%
|
|
| SUKU LAMALEKA | 1 |
0%
|
|
| SUKU LAO | 1 |
0%
|
|
| SUKU LELA | 1 |
0%
|
|
| SUKU LESAMA | 1 |
0%
|
|
| SUKU LEWU | 1 |
0%
|
|
| SUKU MADURA | 1 |
0%
|
|
| SUKU MAHEGAHAR | 1 |
0%
|
|
| SUKU MAKIRI | 1 |
0%
|
|
| SUKU MALAGERU | 1 |
0%
|
|
| SUKU MALANGGU | 1 |
0%
|
|
| SUKU MAO | 1 |
0%
|
|
| SUKU MATOLANG | 1 |
0%
|
|
| SUKU MENDANG | 1 |
0%
|
|
| SUKU NDOLU | 1 |
0%
|
|
| SUKU PAKA | 1 |
0%
|
|
| SUKU PARAI RUATO | 1 |
0%
|
|
| SUKU PATA | 1 |
0%
|
|
| SUKU PAU | 1 |
0%
|
|
| SUKU PRAIJARIK | 1 |
0%
|
|
| SUKU PUKA | 1 |
0%
|
|
| SUKU RAJONG | 1 |
0%
|
|
| SUKU RECAK | 1 |
0%
|
|
| SUKU RENGKAM | 1 |
0%
|
|
| SUKU RUTENG | 2 |
0%
|
|
| SUKU SABU | 2 |
0%
|
|
| SUKU SANGEHEI | 1 |
0%
|
|
| SUKU SENDA WODA | 1 |
0%
|
|
| SUKU SOGE | 1 |
0%
|
|
| SUKU SULIT NDA'ANG | 1 |
0%
|
|
| SUKU TABUNDUNG | 1 |
0%
|
|
| SUKU TANA AI | 1 |
0%
|
|
| SUKU TANAN PUAN | 1 |
0%
|
|
| SUKU TENAWAK | 1 |
0%
|
|
| SUKU TERONG | 1 |
0%
|
|
| SUKU TIDAS | 1 |
0%
|
|
| SUKU TIKASOKO | 1 |
0%
|
|
| SUKU TIMOR | 1 |
0%
|
|
| SUKU TING LEDA | 1 |
0%
|
|
| SUKU TU | 1 |
0%
|
|
| SUKU ULU | 1 |
0%
|
|
| SUKU WAJANG | 1 |
0%
|
|
| SUKU WANO BEO | 1 |
0%
|
|
| SUKU WARUNDARI | 1 |
0%
|
|
| SUKU WARUWAHANG | 1 |
0%
|
|
| SUKU WATO TELA MAO | 1 |
0%
|
|
| SUKU WATU | 1 |
0%
|
|
| SUKU WAWIN | 1 |
0%
|
|
| SUKURAJA | 1 |
0%
|
|
| SULAWESI | 5 |
0.1%
|
|
| SUMANG | 1 |
0%
|
|
| SUMATRA | 5 |
0.1%
|
|
| SUMBA | 7 |
0.1%
|
|
| SUMBA BARAT | 1 |
0%
|
|
| SUMBAWA | 1 |
0%
|
|
| SUNDA | 104 |
2.1%
|
|
| SUNDA 5 | 1 |
0%
|
|
| SUNDA BATAK | 1 |
0%
|
|
| SUSU | 1 |
0%
|
|
| TABUNDUNG | 2 |
0%
|
|
| TADAK | 1 |
0%
|
|
| TALAUD | 1 |
0%
|
|
| TANGLAPUI | 1 |
0%
|
|
| TANJUNG BALING | 1 |
0%
|
|
| TAPUN | 1 |
0%
|
|
| TARAWALU | 1 |
0%
|
|
| TATIMBA | 2 |
0%
|
|
| TATR | 1 |
0%
|
|
| TAUPAN | 1 |
0%
|
|
| TB | 2185 |
43.3%
|
|
| TENDA | 2 |
0%
|
|
| TENO | 1 |
0%
|
|
| TEREN | 1 |
0%
|
|
| TERNATE | 1 |
0%
|
|
| TIATOMING | 1 |
0%
|
|
| TIDAH | 1 |
0%
|
|
| TIFAONA | 1 |
0%
|
|
| TIMOR | 25 |
0.5%
|
|
| TIMOR-TIMUR | 1 |
0%
|
|
| TIMOR/LEOSAE | 1 |
0%
|
|
| TIONGHOA | 20 |
0.4%
|
|
| TIONGHOA/ARAB | 1 |
0%
|
|
| TIONGHOA/CINA | 1 |
0%
|
|
| TIONGHUA | 1 |
0%
|
|
| TOH | 1 |
0%
|
|
| TOMINI | 3 |
0.1%
|
|
| TONDANO | 1 |
0%
|
|
| TONDANO JAWA | 1 |
0%
|
|
| TONTEMBOAN | 2 |
0%
|
|
| TOTEMBOAN | 2 |
0%
|
|
| TPOY | 1 |
0%
|
|
| TRIWAT | 1 |
0%
|
|
| TUEN | 1 |
0%
|
|
| TUKAN | 3 |
0.1%
|
|
| TUKAN AMADOREN | 1 |
0%
|
|
| TUKAN EKO | 1 |
0%
|
|
| TUKAPOTUWAWOPANGGO | 1 |
0%
|
|
| TULANGOMONDO | 1 |
0%
|
|
| TUMBU TARU | 1 |
0%
|
|
| TUPOPU | 1 |
0%
|
|
| UBU RAGA | 1 |
0%
|
|
| UBU TEDA | 1 |
0%
|
|
| UBU WEWI | 1 |
0%
|
|
| UBUNG TORO | 1 |
0%
|
|
| UJAN | 1 |
0%
|
|
| UJUNGPANDANG | 1 |
0%
|
|
| ULAHIN | 1 |
0%
|
|
| UMA ANDUNG | 1 |
0%
|
|
| UMA KALAU | 1 |
0%
|
|
| UMAKUTA | 1 |
0%
|
|
| UMATUKANG | 1 |
0%
|
|
| UMBU DEGO | 1 |
0%
|
|
| UMBU DEGU | 2 |
0%
|
|
| UMBU KARENA | 1 |
0%
|
|
| UMBU PAROWA | 1 |
0%
|
|
| UMBU TRIKA | 1 |
0%
|
|
| UNARAJAN | 1 |
0%
|
|
| WAAIRASA | 1 |
0%
|
|
| WAI MAHI | 1 |
0%
|
|
| WAI NADANGU | 1 |
0%
|
|
| WAIKAJAWI | 1 |
0%
|
|
| WAJANG | 1 |
0%
|
|
| WAJO | 1 |
0%
|
|
| WALAN | 1 |
0%
|
|
| WATANG | 1 |
0%
|
|
| WATOWAENG TOWELU | 1 |
0%
|
|
| WEE BYAK | 1 |
0%
|
|
| WEE LEO | 1 |
0%
|
|
| WEE LOWA | 1 |
0%
|
|
| WEE TALORA | 1 |
0%
|
|
| WEINEI | 1 |
0%
|
|
| WELERU | 1 |
0%
|
|
| WELI | 1 |
0%
|
|
| WEONG | 1 |
0%
|
|
| WERANG | 1 |
0%
|
|
| WESANG | 1 |
0%
|
|
| WEUL | 1 |
0%
|
|
| WEWEJA | 1 |
0%
|
|
| WEWEWA | 1 |
0%
|
|
| WIKKI | 1 |
0%
|
|
| WINI NGELE | 1 |
0%
|
|
| WINI PONDA | 1 |
0%
|
|
| WOHE POKA | 1 |
0%
|
|
| WOLOR | 1 |
0%
|
|
| WONGA | 1 |
0%
|
|
| WUNGU ROBEK | 1 |
0%
|
|
| WUTUN | 1 |
0%
|
|
| WUWUR | 1 |
0%
|
|
| YIMOR | 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.