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
778477
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
Suku terbesar pertama (lid05a)
Data file: L_fin
Overview
Valid:
5100
Invalid:
0
Type:
Discrete
Start:
240
End:
269
Width:
30
Range:
-
Format:
character
Questions and instructions
Categories
| Value | Category | Cases | |
|---|---|---|---|
| ABUI | 3 |
0.1%
|
|
| ADONARA | 1 |
0%
|
|
| AFEANPAH | 1 |
0%
|
|
| AHUIN NAI | 1 |
0%
|
|
| AKOIT | 1 |
0%
|
|
| AMALO | 1 |
0%
|
|
| AMBENO | 1 |
0%
|
|
| AMBENU | 1 |
0%
|
|
| AMLENI | 1 |
0%
|
|
| AMSIKAN | 1 |
0%
|
|
| AMTEME | 1 |
0%
|
|
| AMUNA | 1 |
0%
|
|
| ANA MAERI | 1 |
0%
|
|
| ANA MAHARAI | 1 |
0%
|
|
| ANA MBURUNG | 1 |
0%
|
|
| ANAKAI | 1 |
0%
|
|
| ANAKENDU | 1 |
0%
|
|
| ANAMAARI | 1 |
0%
|
|
| ANAMACUA | 2 |
0%
|
|
| ANAMBURUNG | 1 |
0%
|
|
| ANDANG | 1 |
0%
|
|
| ARAB | 2 |
0%
|
|
| ARAN | 1 |
0%
|
|
| ASUAT | 1 |
0%
|
|
| ATAWATUNG | 2 |
0%
|
|
| ATAWOLO | 1 |
0%
|
|
| ATAWUWUR | 1 |
0%
|
|
| ATINGGOLA | 1 |
0%
|
|
| BAIUF | 1 |
0%
|
|
| BAJO | 5 |
0.1%
|
|
| BALI | 3 |
0.1%
|
|
| BALIBO | 1 |
0%
|
|
| BALUK | 1 |
0%
|
|
| BANA | 2 |
0%
|
|
| BANTIK | 2 |
0%
|
|
| BANUSU | 1 |
0%
|
|
| BAORAJA | 1 |
0%
|
|
| BARADITA | 1 |
0%
|
|
| BATANG | 1 |
0%
|
|
| BEAWODO | 1 |
0%
|
|
| BEI DELLO | 1 |
0%
|
|
| BEING | 1 |
0%
|
|
| BELAGHAR | 1 |
0%
|
|
| BEREWUNG MAKING | 1 |
0%
|
|
| BESI TEIN | 1 |
0%
|
|
| BESSIE | 1 |
0%
|
|
| BETAWI | 13 |
0.3%
|
|
| BIKAR | 1 |
0%
|
|
| BIKOMI | 1 |
0%
|
|
| BINONGKO | 1 |
0%
|
|
| BINTAUNA | 4 |
0.1%
|
|
| BNANI | 1 |
0%
|
|
| BOLAANG MENGONDOW | 1 |
0%
|
|
| BOLAANG MONGONDOW | 1 |
0%
|
|
| BOLANG ITANG | 5 |
0.1%
|
|
| BOLANGO | 3 |
0.1%
|
|
| BOLUKTASIDE | 1 |
0%
|
|
| BONDO NGAINGO | 1 |
0%
|
|
| BORGO | 1 |
0%
|
|
| BUGIS | 3 |
0.1%
|
|
| BUKIFAN | 1 |
0%
|
|
| BUNGA BALI | 1 |
0%
|
|
| BUYANAYA | 1 |
0%
|
|
| CIBAL | 1 |
0%
|
|
| COLOL | 1 |
0%
|
|
| COMPANG | 2 |
0%
|
|
| CONGKAR | 1 |
0%
|
|
| CURU | 1 |
0%
|
|
| DA GOMEZ | 1 |
0%
|
|
| DA SILVA | 1 |
0%
|
|
| DA SILVA-LAMAHOLOT | 1 |
0%
|
|
| DANGA | 1 |
0%
|
|
| DANGKA | 1 |
0%
|
|
| DAWAN | 2 |
0%
|
|
| DEONA | 1 |
0%
|
|
| DERU | 1 |
0%
|
|
| DIAZ | 1 |
0%
|
|
| DONGITAIN | 1 |
0%
|
|
| DOREN | 1 |
0%
|
|
| DUDANGA | 1 |
0%
|
|
| ELLO | 1 |
0%
|
|
| EMBUDALE | 1 |
0%
|
|
| EMBULEKO | 1 |
0%
|
|
| EMBUNGERA | 1 |
0%
|
|
| EMBUREPI | 1 |
0%
|
|
| ENDE | 13 |
0.3%
|
|
| ENDE LIO | 1 |
0%
|
|
| ENTHA | 1 |
0%
|
|
| FAOT | 1 |
0%
|
|
| FEO | 1 |
0%
|
|
| FEOTNAS | 1 |
0%
|
|
| FERNANDEZ AIKOLI | 1 |
0%
|
|
| FLORES | 22 |
0.4%
|
|
| FLORES LAMAHOLOT | 2 |
0%
|
|
| FLORES TIMUR | 1 |
0%
|
|
| FLORES/LAMAHOLOT | 1 |
0%
|
|
| GEGANIO | 1 |
0%
|
|
| GHORONTALO | 1 |
0%
|
|
| GOBAN | 1 |
0%
|
|
| GOLO | 1 |
0%
|
|
| GONDE | 1 |
0%
|
|
| GORONTALO | 272 |
5.3%
|
|
| GORONTALO/SANGER | 1 |
0%
|
|
| GOROTALO | 1 |
0%
|
|
| GOROTNALO | 1 |
0%
|
|
| GUNUNG | 1 |
0%
|
|
| HADAPA | 1 |
0%
|
|
| HALI MAKING | 1 |
0%
|
|
| HALIWALA | 1 |
0%
|
|
| HALOUR | 1 |
0%
|
|
| HAMALOR | 1 |
0%
|
|
| HAUTEAS | 1 |
0%
|
|
| HAWA | 1 |
0%
|
|
| HAYON | 1 |
0%
|
|
| HELONG | 1 |
0%
|
|
| HENULAE | 1 |
0%
|
|
| HERA | 1 |
0%
|
|
| HEWEN | 1 |
0%
|
|
| HUNUTEIK | 1 |
0%
|
|
| IKUSERI | 1 |
0%
|
|
| INA NGELE | 1 |
0%
|
|
| ISLAM | 1 |
0%
|
|
| IWNG GETE | 1 |
0%
|
|
| JAKARTA/BETAWI | 1 |
0%
|
|
| JAWA | 1744 |
34.2%
|
|
| JAWA 6 | 1 |
0%
|
|
| JAWA CIREBON | 1 |
0%
|
|
| JAWA GORONTALO | 1 |
0%
|
|
| JAWA PANTURA | 1 |
0%
|
|
| JAWA TONDANO | 1 |
0%
|
|
| JAWA` | 1 |
0%
|
|
| JEKE | 1 |
0%
|
|
| JOKA | 1 |
0%
|
|
| KABBA | 2 |
0%
|
|
| KABELAN | 1 |
0%
|
|
| KABIHU WAIMURU | 1 |
0%
|
|
| KABOLENG | 1 |
0%
|
|
| KABONU | 1 |
0%
|
|
| KADOKU | 1 |
0%
|
|
| KAHA | 1 |
0%
|
|
| KAHA KATODA | 1 |
0%
|
|
| KAIHUA | 1 |
0%
|
|
| KALE | 1 |
0%
|
|
| KALUWEIWA | 1 |
0%
|
|
| KAMANG | 1 |
0%
|
|
| KAMBATA | 1 |
0%
|
|
| KAMBATANA | 1 |
0%
|
|
| KAMPUNG KRAJAN | 1 |
0%
|
|
| KARAENG | 1 |
0%
|
|
| KARANGORA | 1 |
0%
|
|
| KAREDI | 1 |
0%
|
|
| KAREOI | 1 |
0%
|
|
| KARITA | 1 |
0%
|
|
| KARUNGGU WATU | 1 |
0%
|
|
| KATINA | 1 |
0%
|
|
| KAUNGMAH | 1 |
0%
|
|
| KAYOE | 1 |
0%
|
|
| KEBIRANGGA | 1 |
0%
|
|
| KEHI | 1 |
0%
|
|
| KEIDIPANG | 1 |
0%
|
|
| KELAMANG GOKAR | 1 |
0%
|
|
| KEMPO | 1 |
0%
|
|
| KENGLUK | 1 |
0%
|
|
| KEPOK | 1 |
0%
|
|
| KERETANA | 1 |
0%
|
|
| KERONG | 1 |
0%
|
|
| KEWAGUNUNG | 1 |
0%
|
|
| KIABENI | 1 |
0%
|
|
| KILELANG | 1 |
0%
|
|
| KINA | 2 |
0%
|
|
| KINAPALEN | 1 |
0%
|
|
| KIUKANAK | 2 |
0%
|
|
| KLON | 1 |
0%
|
|
| KODORA | 1 |
0%
|
|
| KOFI | 1 |
0%
|
|
| KOKOKEK | 1 |
0%
|
|
| KOKOMAKING | 1 |
0%
|
|
| KOLIN | 1 |
0%
|
|
| KOMBU | 1 |
0%
|
|
| KOTA INGU | 1 |
0%
|
|
| KOTAINGO | 1 |
0%
|
|
| KROWE | 1 |
0%
|
|
| KUFIULIN | 1 |
0%
|
|
| KUKUN | 1 |
0%
|
|
| KULENG | 3 |
0.1%
|
|
| KUTETE | 1 |
0%
|
|
| LAHI KANINU | 1 |
0%
|
|
| LAJAR | 1 |
0%
|
|
| LAKE | 2 |
0%
|
|
| LALIAN | 1 |
0%
|
|
| LAMA HOLOT | 1 |
0%
|
|
| LAMADIRA | 1 |
0%
|
|
| LAMAHOLOT | 48 |
0.9%
|
|
| LAMAHORA/LAMAHOLOT | 1 |
0%
|
|
| LAMALEWAR | 1 |
0%
|
|
| LAMALUK | 1 |
0%
|
|
| LAMBA | 1 |
0%
|
|
| LAMPAU | 1 |
0%
|
|
| LANGFATEI | 1 |
0%
|
|
| LEBA KAROKU | 1 |
0%
|
|
| LELANG AYAK | 1 |
0%
|
|
| LEMBATA | 1 |
0%
|
|
| LENA | 1 |
0%
|
|
| LENGARE | 1 |
0%
|
|
| LEO ENE | 1 |
0%
|
|
| LEO INA AI | 1 |
0%
|
|
| LEOANAN | 1 |
0%
|
|
| LEOKUNAKH | 1 |
0%
|
|
| LEOLEKO | 1 |
0%
|
|
| LEOLULU | 1 |
0%
|
|
| LEOSAE | 1 |
0%
|
|
| LETONG | 1 |
0%
|
|
| LEUHOE | 1 |
0%
|
|
| LEUOBI | 1 |
0%
|
|
| LEWA | 1 |
0%
|
|
| LEWAR | 2 |
0%
|
|
| LEWATA | 3 |
0.1%
|
|
| LEWO EMA | 1 |
0%
|
|
| LEWOIRAK | 1 |
0%
|
|
| LEWOTAPO | 1 |
0%
|
|
| LIEM | 1 |
0%
|
|
| LIKARA | 1 |
0%
|
|
| LIKUWATAN | 1 |
0%
|
|
| LIO | 33 |
0.6%
|
|
| LIS | 1 |
0%
|
|
| LISE | 1 |
0%
|
|
| LIWU | 4 |
0.1%
|
|
| LOBO | 1 |
0%
|
|
| LOGE | 1 |
0%
|
|
| LOGHO | 1 |
0%
|
|
| LONA LANA | 1 |
0%
|
|
| LOSOR | 1 |
0%
|
|
| LOWAHE | 1 |
0%
|
|
| MADUARA | 1 |
0%
|
|
| MADURA | 476 |
9.3%
|
|
| MAGE TANAPUAN | 1 |
0%
|
|
| MAHEMBA | 2 |
0%
|
|
| MAING | 1 |
0%
|
|
| MAKAKANG | 1 |
0%
|
|
| MAKASAR | 2 |
0%
|
|
| MAKATA KERI | 2 |
0%
|
|
| MAKATAKERI | 2 |
0%
|
|
| MAKING | 1 |
0%
|
|
| MAKOMBOPUROWAWA | 1 |
0%
|
|
| MALARI | 1 |
0%
|
|
| MALEFEO | 1 |
0%
|
|
| MALIDUA | 1 |
0%
|
|
| MALUKU | 1 |
0%
|
|
| MAMODU | 1 |
0%
|
|
| MANDATO | 1 |
0%
|
|
| MANEHAT | 1 |
0%
|
|
| MANETE | 1 |
0%
|
|
| MANGGARAI | 16 |
0.3%
|
|
| MANGGI | 1 |
0%
|
|
| MANGOLA | 1 |
0%
|
|
| MANGUTANA | 1 |
0%
|
|
| MANHITU | 1 |
0%
|
|
| MANIBAN | 1 |
0%
|
|
| MANLEA | 1 |
0%
|
|
| MANLIMAS | 1 |
0%
|
|
| MARABA | 1 |
0%
|
|
| MARAPATI | 2 |
0%
|
|
| MARAPETI | 1 |
0%
|
|
| MASAHU | 1 |
0%
|
|
| MASAN | 1 |
0%
|
|
| MATOLANG | 2 |
0%
|
|
| MATULELANG | 1 |
0%
|
|
| MAU | 1 |
0%
|
|
| MAUMABE | 1 |
0%
|
|
| MAYUMBA | 1 |
0%
|
|
| MBENGU | 1 |
0%
|
|
| MBIRA RIA | 1 |
0%
|
|
| MBOETEING | 1 |
0%
|
|
| MBULI | 1 |
0%
|
|
| MBURALAE | 2 |
0%
|
|
| MELAYU | 1 |
0%
|
|
| MENDANG | 1 |
0%
|
|
| MENGONDOW | 23 |
0.5%
|
|
| MENI | 1 |
0%
|
|
| MERUN MOLIN | 1 |
0%
|
|
| MESAFFO | 1 |
0%
|
|
| METAN | 1 |
0%
|
|
| MINAHASA | 189 |
3.7%
|
|
| MINAHASA/TONSAWANG | 1 |
0%
|
|
| MINAHSA | 1 |
0%
|
|
| MINI | 1 |
0%
|
|
| MODO | 1 |
0%
|
|
| MOLIMPUI | 1 |
0%
|
|
| MOLO | 1 |
0%
|
|
| MONEMNASI | 1 |
0%
|
|
| MONGONDO | 1 |
0%
|
|
| MONGONDOW | 45 |
0.9%
|
|
| MONTEIN | 1 |
0%
|
|
| MOOYUMBUK | 1 |
0%
|
|
| MOPADARA | 1 |
0%
|
|
| MOSANGEO | 1 |
0%
|
|
| MOTO DAWU | 1 |
0%
|
|
| MPO TUKA | 1 |
0%
|
|
| NABIBI | 1 |
0%
|
|
| NABU | 1 |
0%
|
|
| NAHAS | 2 |
0%
|
|
| NAIJU METAN | 1 |
0%
|
|
| NAIKOFI | 1 |
0%
|
|
| NAIMNANU | 1 |
0%
|
|
| NAIMNULE | 1 |
0%
|
|
| NAITAK | 1 |
0%
|
|
| NAITEFA TAONE | 1 |
0%
|
|
| NAMA SUKU = TO | 1 |
0%
|
|
| NARA | 1 |
0%
|
|
| NATUN | 1 |
0%
|
|
| NDARA | 1 |
0%
|
|
| NDEO TEY | 1 |
0%
|
|
| NEONNUFA | 1 |
0%
|
|
| NGAJO | 1 |
0%
|
|
| NGGAU PANDIE | 1 |
0%
|
|
| NGGESA BIRI | 1 |
0%
|
|
| NIANE MONGKO | 1 |
0%
|
|
| NIANG DOPO | 1 |
0%
|
|
| NIDA | 1 |
0%
|
|
| NIDJANO | 1 |
0%
|
|
| NIFU | 1 |
0%
|
|
| NILAN | 1 |
0%
|
|
| NILLO | 1 |
0%
|
|
| NIMANUHO BALAWALA | 1 |
0%
|
|
| NONDI | 1 |
0%
|
|
| NONDO | 1 |
0%
|
|
| NOPALA | 1 |
0%
|
|
| NURATA | 1 |
0%
|
|
| OBAWALA | 1 |
0%
|
|
| OLIN | 1 |
0%
|
|
| OLLA | 1 |
0%
|
|
| OMBO KAREGNA | 1 |
0%
|
|
| ONLANSAN | 1 |
0%
|
|
| OPENG | 1 |
0%
|
|
| ORAWALA | 1 |
0%
|
|
| OSING | 4 |
0.1%
|
|
| PA'I | 1 |
0%
|
|
| PAMAKO | 1 |
0%
|
|
| PANDANG | 1 |
0%
|
|
| PANEA | 1 |
0%
|
|
| PANGING | 1 |
0%
|
|
| PAO KUMA | 1 |
0%
|
|
| PARAITUA | 1 |
0%
|
|
| PARAKU | 1 |
0%
|
|
| PARERA | 2 |
0%
|
|
| PATI | 1 |
0%
|
|
| PAWUNGO | 1 |
0%
|
|
| PEJEK | 1 |
0%
|
|
| PETUMBANG | 1 |
0%
|
|
| PEUHULU | 1 |
0%
|
|
| PIRAN | 1 |
0%
|
|
| PITAY | 2 |
0%
|
|
| POLBO A | 1 |
0%
|
|
| PONCUNG | 1 |
0%
|
|
| PONGKOR | 2 |
0%
|
|
| POTIS | 1 |
0%
|
|
| PRAIMAJANGGA | 1 |
0%
|
|
| PUKA | 1 |
0%
|
|
| PUPUNG | 2 |
0%
|
|
| RACANG | 1 |
0%
|
|
| RAHONG | 2 |
0%
|
|
| RAJA | 1 |
0%
|
|
| RARA | 1 |
0%
|
|
| RATE NGGARO | 1 |
0%
|
|
| RENGAS | 1 |
0%
|
|
| RIWU | 1 |
0%
|
|
| ROEK | 1 |
0%
|
|
| RONGGA | 1 |
0%
|
|
| ROTE | 16 |
0.3%
|
|
| ROTE (ELLO) | 1 |
0%
|
|
| ROTO | 2 |
0%
|
|
| RUIS | 1 |
0%
|
|
| RUTENG | 1 |
0%
|
|
| SABU | 13 |
0.3%
|
|
| SAE | 1 |
0%
|
|
| SALEM | 1 |
0%
|
|
| SAMANAMPO | 1 |
0%
|
|
| SANAK | 1 |
0%
|
|
| SANBEIN | 1 |
0%
|
|
| SANGER | 17 |
0.3%
|
|
| SANGER SIAU | 1 |
0%
|
|
| SANGER SIAW | 1 |
0%
|
|
| SANGIH | 1 |
0%
|
|
| SANGIHE | 12 |
0.2%
|
|
| SANGIR | 22 |
0.4%
|
|
| SANGIR TALAUD | 1 |
0%
|
|
| SAO SUE | 1 |
0%
|
|
| SARAWUTUN | 1 |
0%
|
|
| SEJAO | 1 |
0%
|
|
| SELAN | 1 |
0%
|
|
| SENA | 1 |
0%
|
|
| SESA MAKING | 1 |
0%
|
|
| SIAN(SANGIHE) | 1 |
0%
|
|
| SIAU | 2 |
0%
|
|
| SIBOBOI | 1 |
0%
|
|
| SIFA | 1 |
0%
|
|
| SIKKA | 8 |
0.2%
|
|
| SIKKA FLORES | 1 |
0%
|
|
| SIKKA KROWE | 1 |
0%
|
|
| SILAB | 1 |
0%
|
|
| SINDA | 1 |
0%
|
|
| SINGABU | 1 |
0%
|
|
| SIPI | 1 |
0%
|
|
| SOGE | 1 |
0%
|
|
| SOGEN | 2 |
0%
|
|
| SOLOR | 2 |
0%
|
|
| SON | 1 |
0%
|
|
| SUBDA | 1 |
0%
|
|
| SUKA | 2 |
0%
|
|
| SUKU ANGIN | 1 |
0%
|
|
| SUKU BALI | 1 |
0%
|
|
| SUKU BANA | 1 |
0%
|
|
| SUKU BANGKAJONG | 1 |
0%
|
|
| SUKU BINTAUNA | 2 |
0%
|
|
| SUKU BUGIS | 1 |
0%
|
|
| SUKU COLO | 1 |
0%
|
|
| SUKU ENDE | 3 |
0.1%
|
|
| SUKU FLORES | 2 |
0%
|
|
| SUKU GORONTALO | 3 |
0.1%
|
|
| SUKU JAWA | 1 |
0%
|
|
| SUKU KINA | 2 |
0%
|
|
| SUKU KOLING | 1 |
0%
|
|
| SUKU KROWE | 1 |
0%
|
|
| SUKU LANGODAI | 1 |
0%
|
|
| SUKU LAO | 1 |
0%
|
|
| SUKU LENANG | 1 |
0%
|
|
| SUKU LENTANG | 1 |
0%
|
|
| SUKU LETE | 1 |
0%
|
|
| SUKU LEWOMANUK | 1 |
0%
|
|
| SUKU LIO | 2 |
0%
|
|
| SUKU LOCE | 1 |
0%
|
|
| SUKU MADURA | 2 |
0%
|
|
| SUKU MANGGARAI | 2 |
0%
|
|
| SUKU MARAS | 1 |
0%
|
|
| SUKU MAWU | 1 |
0%
|
|
| SUKU MENGONDOW | 1 |
0%
|
|
| SUKU MINAHASA | 1 |
0%
|
|
| SUKU MONGONDOW | 3 |
0.1%
|
|
| SUKU MUDA PUKE | 1 |
0%
|
|
| SUKU NAREK | 1 |
0%
|
|
| SUKU NATA RATANA | 1 |
0%
|
|
| SUKU NINU | 1 |
0%
|
|
| SUKU NTERLANGO RINGGI RANGGANG | 1 |
0%
|
|
| SUKU OMBONAPA | 1 |
0%
|
|
| SUKU PAKA | 1 |
0%
|
|
| SUKU PAU | 1 |
0%
|
|
| SUKU RAJA | 1 |
0%
|
|
| SUKU SANGIR | 2 |
0%
|
|
| SUKU SIKKA | 1 |
0%
|
|
| SUKU SUKA | 1 |
0%
|
|
| SUKU SUMBA | 1 |
0%
|
|
| SUKU SUNDA | 1 |
0%
|
|
| SUKU TENGGER | 1 |
0%
|
|
| SUKU TERAS WANGKUNG | 1 |
0%
|
|
| SUKU WAILAWA | 1 |
0%
|
|
| SUKU WAJANG | 1 |
0%
|
|
| SUKU WALI | 1 |
0%
|
|
| SUKU WETIK | 1 |
0%
|
|
| SUMBA | 67 |
1.3%
|
|
| SUMBA BARAT | 1 |
0%
|
|
| SUMBA SABU | 1 |
0%
|
|
| SUMBA TIMUR | 1 |
0%
|
|
| SUNDA | 1332 |
26.1%
|
|
| SUNDA 95 | 1 |
0%
|
|
| SUNDDA | 1 |
0%
|
|
| SURAMALAI | 1 |
0%
|
|
| SUSU | 1 |
0%
|
|
| TABUNDUNG | 4 |
0.1%
|
|
| TABUNNDUNG | 1 |
0%
|
|
| TAGA | 1 |
0%
|
|
| TAKATEN | 1 |
0%
|
|
| TAKUANATAEK | 1 |
0%
|
|
| TALAUD | 1 |
0%
|
|
| TALPI | 1 |
0%
|
|
| TANA MAI | 1 |
0%
|
|
| TANAH PUAN | 1 |
0%
|
|
| TANANGGOE | 1 |
0%
|
|
| TANINAS | 1 |
0%
|
|
| TAPO BALI | 2 |
0%
|
|
| TAPOPU | 1 |
0%
|
|
| TARABEI | 1 |
0%
|
|
| TARUAMANG | 1 |
0%
|
|
| TEFA | 1 |
0%
|
|
| TEFBANE | 1 |
0%
|
|
| TELNONI | 1 |
0%
|
|
| TELUMA | 2 |
0%
|
|
| TEME | 1 |
0%
|
|
| TEN AUAK | 1 |
0%
|
|
| TENDA | 1 |
0%
|
|
| TERUK | 1 |
0%
|
|
| TIAWAI | 1 |
0%
|
|
| TIBONIO | 1 |
0%
|
|
| TIDAS | 1 |
0%
|
|
| TIMOR | 93 |
1.8%
|
|
| TIONGHOA | 1 |
0%
|
|
| TIRI | 1 |
0%
|
|
| TNUH NUN BENI | 1 |
0%
|
|
| TODO | 3 |
0.1%
|
|
| TOEBKAE | 1 |
0%
|
|
| TOLOK | 2 |
0%
|
|
| TON BESI | 1 |
0%
|
|
| TONSEA | 1 |
0%
|
|
| TOULOUR | 2 |
0%
|
|
| TUAWOLO | 1 |
0%
|
|
| TUKAN | 3 |
0.1%
|
|
| TUKAN DUNGA | 1 |
0%
|
|
| TUKAN-LAMAHOLOT | 1 |
0%
|
|
| TUKE | 1 |
0%
|
|
| TULASI | 1 |
0%
|
|
| TUMBU KERAMBU | 1 |
0%
|
|
| TUMBUTARI | 1 |
0%
|
|
| TUNGGAL KELOK | 1 |
0%
|
|
| UAWA | 1 |
0%
|
|
| UBU KAMADE | 1 |
0%
|
|
| UBU TEDA | 1 |
0%
|
|
| UDAK | 1 |
0%
|
|
| UMA KUTA | 1 |
0%
|
|
| UMAM BURU | 1 |
0%
|
|
| UMBU DEDO | 1 |
0%
|
|
| UMBU KAREWA | 1 |
0%
|
|
| UMBU KOBA | 2 |
0%
|
|
| UMBU MALEHA | 1 |
0%
|
|
| UMBU PAROWA | 1 |
0%
|
|
| UNAK | 1 |
0%
|
|
| UNARAJAN | 1 |
0%
|
|
| UNGGU | 1 |
0%
|
|
| URALEA | 1 |
0%
|
|
| USBOKO | 1 |
0%
|
|
| USKONO | 1 |
0%
|
|
| USPUPU | 1 |
0%
|
|
| WAJANG | 1 |
0%
|
|
| WAKE | 1 |
0%
|
|
| WALENGU | 1 |
0%
|
|
| WARAWATUN | 1 |
0%
|
|
| WAS | 1 |
0%
|
|
| WATO | 1 |
0%
|
|
| WATOL | 1 |
0%
|
|
| WATU | 1 |
0%
|
|
| WEE BYAKA | 1 |
0%
|
|
| WEE LADE | 2 |
0%
|
|
| WEE LEO | 2 |
0%
|
|
| WEE LEWO | 3 |
0.1%
|
|
| WEE MAGHO | 1 |
0%
|
|
| WEE MEILI | 1 |
0%
|
|
| WEI GALLI | 1 |
0%
|
|
| WEINA DANGO | 1 |
0%
|
|
| WELEO | 1 |
0%
|
|
| WELUK PRAI MEMANG | 1 |
0%
|
|
| WEOL | 2 |
0%
|
|
| WESANG | 1 |
0%
|
|
| WEWEHA | 1 |
0%
|
|
| WOLENGU | 1 |
0%
|
|
| WOLO | 1 |
0%
|
|
| WUTUN | 1 |
0%
|
|
| WUWUR | 2 |
0%
|
|
| YUPUPADA | 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.