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
2769516
Downloads
9309364
- 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 pertama (lid05a)
Data file: L_fin
Overview
Valid:
5041
Invalid:
0
Type:
Discrete
Start:
124
End:
158
Width:
35
Range:
-
Format:
character
Questions and instructions
Categories
| Value | Category | Cases | |
|---|---|---|---|
| ABOIC FOLBOA | 1 |
0%
|
|
| ABUI | 3 |
0.1%
|
|
| AGOS | 1 |
0%
|
|
| ALATA | 1 |
0%
|
|
| ALOR | 2 |
0%
|
|
| AMBOSUGI | 1 |
0%
|
|
| ANA | 1 |
0%
|
|
| ANA KENDU | 1 |
0%
|
|
| ANA MAARE | 1 |
0%
|
|
| ANA MACUA | 1 |
0%
|
|
| ANA MAERI | 1 |
0%
|
|
| ANA MAHARAI | 1 |
0%
|
|
| ANA MAWAWA | 1 |
0%
|
|
| ANA UMBA | 1 |
0%
|
|
| ANA WARU | 1 |
0%
|
|
| ANAM BURUNG | 1 |
0%
|
|
| ANAMACUA | 2 |
0%
|
|
| ANAMBURU | 1 |
0%
|
|
| ANAMBURUNG | 1 |
0%
|
|
| ANAPULA | 1 |
0%
|
|
| ANAS | 1 |
0%
|
|
| ANAWARU | 5 |
0.1%
|
|
| ANDANG | 1 |
0%
|
|
| ANGARLALENG | 1 |
0%
|
|
| ANGIN | 1 |
0%
|
|
| ARANG | 1 |
0%
|
|
| ASAMAI | 1 |
0%
|
|
| ATA KROWEK | 1 |
0%
|
|
| ATATU | 1 |
0%
|
|
| ATAWUWUR | 2 |
0%
|
|
| BAHI | 3 |
0.1%
|
|
| BAIS | 1 |
0%
|
|
| BAJO | 6 |
0.1%
|
|
| BALI | 5 |
0.1%
|
|
| BALI MULLA | 1 |
0%
|
|
| BALUN | 1 |
0%
|
|
| BANAM | 1 |
0%
|
|
| BANI | 1 |
0%
|
|
| BANTIK | 1 |
0%
|
|
| BAORAJA | 1 |
0%
|
|
| BARAPAPA | 1 |
0%
|
|
| BEAWOPO | 1 |
0%
|
|
| BELJELO | 1 |
0%
|
|
| BEON SILLA | 1 |
0%
|
|
| BETAWI | 16 |
0.3%
|
|
| BINONGKO | 1 |
0%
|
|
| BINTAUNA | 6 |
0.1%
|
|
| BITING | 1 |
0%
|
|
| BLIKON | 2 |
0%
|
|
| BLOLONG | 1 |
0%
|
|
| BOIMAU | 1 |
0%
|
|
| BOLAANG MONGONDOW | 17 |
0.3%
|
|
| BOLANG ITANG | 3 |
0.1%
|
|
| BOLANGITANG | 2 |
0%
|
|
| BOLANGO | 1 |
0%
|
|
| BOLENG | 1 |
0%
|
|
| BORGO | 1 |
0%
|
|
| BORGO (MANADO) | 1 |
0%
|
|
| BRAKLEL | 1 |
0%
|
|
| BUDAK RATU | 1 |
0%
|
|
| BUGIS | 4 |
0.1%
|
|
| BUKUT | 1 |
0%
|
|
| BUNGA BALI | 1 |
0%
|
|
| BURAN | 1 |
0%
|
|
| BUTON | 1 |
0%
|
|
| BUYA NAYA | 1 |
0%
|
|
| CIREBON | 1 |
0%
|
|
| COLOL | 1 |
0%
|
|
| COLOLOLDA | 1 |
0%
|
|
| DAINDIPI | 1 |
0%
|
|
| DAKURANGU | 1 |
0%
|
|
| DAMALERO | 1 |
0%
|
|
| DANGA DOTONG | 1 |
0%
|
|
| DASILVA | 1 |
0%
|
|
| DASILVA MULAWATO | 1 |
0%
|
|
| DATON | 1 |
0%
|
|
| DAWAN | 7 |
0.1%
|
|
| DERY | 1 |
0%
|
|
| DOKU GAWE | 1 |
0%
|
|
| DOLIMAKING | 1 |
0%
|
|
| DULU UBENG | 1 |
0%
|
|
| EDALOLONG | 1 |
0%
|
|
| EMBU LEKO | 1 |
0%
|
|
| ENDE | 10 |
0.2%
|
|
| ENDE FLORES | 3 |
0.1%
|
|
| ENDE FOLRES EMBUREPI | 1 |
0%
|
|
| ENDE LEO | 1 |
0%
|
|
| ENDE LIO | 2 |
0%
|
|
| ENDE-FLORES | 6 |
0.1%
|
|
| FEO | 1 |
0%
|
|
| FLORES | 12 |
0.2%
|
|
| FLORES-ENDE | 1 |
0%
|
|
| GAWEN | 1 |
0%
|
|
| GELARANG | 1 |
0%
|
|
| GENDANG | 1 |
0%
|
|
| GETAN | 1 |
0%
|
|
| GORANTALO | 1 |
0%
|
|
| GORONTALO | 258 |
5.1%
|
|
| GORONYALO | 1 |
0%
|
|
| GUNUNG | 1 |
0%
|
|
| HARIN | 1 |
0%
|
|
| HELAN | 1 |
0%
|
|
| HEWEN | 1 |
0%
|
|
| HOARATAN | 1 |
0%
|
|
| HOKON | 1 |
0%
|
|
| HULER | 1 |
0%
|
|
| HUREK | 1 |
0%
|
|
| ILE WEKING AMAHAJON | 1 |
0%
|
|
| ILELOLONG | 1 |
0%
|
|
| INANGELE | 1 |
0%
|
|
| INEMONI | 1 |
0%
|
|
| JAMA | 1 |
0%
|
|
| JAWA | 1727 |
34.3%
|
|
| JAWA 99 | 1 |
0%
|
|
| JAWA CIREBON | 2 |
0%
|
|
| JAWA OSING | 1 |
0%
|
|
| JAWA TONDANO | 1 |
0%
|
|
| JAWA-CIREBON | 3 |
0.1%
|
|
| JAWAN | 1 |
0%
|
|
| JAWAW | 1 |
0%
|
|
| JIWA | 2 |
0%
|
|
| JWA | 1 |
0%
|
|
| K KOTAN | 1 |
0%
|
|
| KABBA | 2 |
0%
|
|
| KABELA WUNTU | 1 |
0%
|
|
| KABISU MAHEMBA | 1 |
0%
|
|
| KABULING | 1 |
0%
|
|
| KABURU | 1 |
0%
|
|
| KADOKU | 1 |
0%
|
|
| KADOMPUL | 1 |
0%
|
|
| KAHA DETA | 1 |
0%
|
|
| KAMANDA LORA | 1 |
0%
|
|
| KAMBATA | 1 |
0%
|
|
| KAMING MI | 1 |
0%
|
|
| KANYAKKO | 1 |
0%
|
|
| KANYAKU | 1 |
0%
|
|
| KARA | 1 |
0%
|
|
| KARANGORA | 1 |
0%
|
|
| KAREDI | 2 |
0%
|
|
| KARINDING | 1 |
0%
|
|
| KARITA | 2 |
0%
|
|
| KARMANE | 1 |
0%
|
|
| KATINAH | 1 |
0%
|
|
| KAUNGMAH | 1 |
0%
|
|
| KEBELEN | 1 |
0%
|
|
| KEDANG | 1 |
0%
|
|
| KEIN | 1 |
0%
|
|
| KELEDAN | 1 |
0%
|
|
| KEPOK | 1 |
0%
|
|
| KERE TANA | 1 |
0%
|
|
| KERONG | 1 |
0%
|
|
| KIA BENI | 1 |
0%
|
|
| KILELANG | 1 |
0%
|
|
| KINA | 1 |
0%
|
|
| KOI | 1 |
0%
|
|
| KOLANA | 1 |
0%
|
|
| KOLIN | 2 |
0%
|
|
| KOMBU | 1 |
0%
|
|
| KOMBUL | 1 |
0%
|
|
| KOPE | 1 |
0%
|
|
| KOTEN | 4 |
0.1%
|
|
| KROWE | 1 |
0%
|
|
| KULEN | 1 |
0%
|
|
| KULENG | 2 |
0%
|
|
| KUNULEWU | 1 |
0%
|
|
| KUROUMA | 1 |
0%
|
|
| LAANDO | 1 |
0%
|
|
| LABALA | 1 |
0%
|
|
| LAHI PANGABANG | 1 |
0%
|
|
| LAI LARA | 1 |
0%
|
|
| LAJAR | 1 |
0%
|
|
| LAKE | 1 |
0%
|
|
| LAMA HOLOT | 2 |
0%
|
|
| LAMA KERA | 1 |
0%
|
|
| LAMA NELE | 1 |
0%
|
|
| LAMA TOKAN | 4 |
0.1%
|
|
| LAMABAWA | 1 |
0%
|
|
| LAMADIRA | 1 |
0%
|
|
| LAMAGETENG | 1 |
0%
|
|
| LAMAHOLOT | 25 |
0.5%
|
|
| LAMAHOT | 1 |
0%
|
|
| LAMANELE | 1 |
0%
|
|
| LAMAODUNG | 1 |
0%
|
|
| LAMAPAHA | 1 |
0%
|
|
| LAMAROBAK | 1 |
0%
|
|
| LAMPAO | 1 |
0%
|
|
| LANANG | 1 |
0%
|
|
| LANDO | 1 |
0%
|
|
| LANGFATAI | 1 |
0%
|
|
| LANGO DAE | 1 |
0%
|
|
| LAURE | 1 |
0%
|
|
| LAWAN | 1 |
0%
|
|
| LAWI | 1 |
0%
|
|
| LELANG AYAK | 1 |
0%
|
|
| LENANG | 1 |
0%
|
|
| LENGARI | 1 |
0%
|
|
| LERANG | 1 |
0%
|
|
| LETON MARANGBETEN | 1 |
0%
|
|
| LEUAPE | 1 |
0%
|
|
| LEUHOE | 1 |
0%
|
|
| LEUWERUNG | 1 |
0%
|
|
| LEWA | 1 |
0%
|
|
| LEWAT | 1 |
0%
|
|
| LEWATA | 1 |
0%
|
|
| LEWO HAYON | 1 |
0%
|
|
| LEWODULE | 1 |
0%
|
|
| LIKUATAN | 1 |
0%
|
|
| LILI WERI | 1 |
0%
|
|
| LIMAN | 1 |
0%
|
|
| LIO | 9 |
0.2%
|
|
| LIO FLORES | 1 |
0%
|
|
| LIO-SIKKA | 1 |
0%
|
|
| LIS | 1 |
0%
|
|
| LISE | 1 |
0%
|
|
| LOGE | 1 |
0%
|
|
| LOLODE (MALUKU) | 1 |
0%
|
|
| LOSOR | 1 |
0%
|
|
| LOURA | 2 |
0%
|
|
| MAADURA | 1 |
0%
|
|
| MABILEHI | 1 |
0%
|
|
| MADUR | 1 |
0%
|
|
| MADURA | 457 |
9.1%
|
|
| MADURA] | 1 |
0%
|
|
| MAHEMBA | 1 |
0%
|
|
| MAING | 1 |
0%
|
|
| MAKATA KERI | 2 |
0%
|
|
| MAKATAKERI | 1 |
0%
|
|
| MAKIN | 1 |
0%
|
|
| MALARI | 5 |
0.1%
|
|
| MANADO | 2 |
0%
|
|
| MANGGARAI | 26 |
0.5%
|
|
| MANIBAN | 1 |
0%
|
|
| MANOLANG | 1 |
0%
|
|
| MARAN | 2 |
0%
|
|
| MARANG | 1 |
0%
|
|
| MARETU | 1 |
0%
|
|
| MARITU | 1 |
0%
|
|
| MARONGGA | 1 |
0%
|
|
| MATOLANG | 2 |
0%
|
|
| MATUTINA | 1 |
0%
|
|
| MAYELI | 1 |
0%
|
|
| MBARADITA | 1 |
0%
|
|
| MBARU BAMBAR | 1 |
0%
|
|
| MBARU DOR | 1 |
0%
|
|
| MELAYU | 2 |
0%
|
|
| MELAYU/BETAWI | 1 |
0%
|
|
| MELENG | 1 |
0%
|
|
| MEMAN | 1 |
0%
|
|
| MEOL | 1 |
0%
|
|
| MESA FEO | 1 |
0%
|
|
| METKONO | 1 |
0%
|
|
| MINAHAASA | 1 |
0%
|
|
| MINAHASA | 192 |
3.8%
|
|
| MIRARIA | 1 |
0%
|
|
| MKANGGARAI | 1 |
0%
|
|
| MODO | 1 |
0%
|
|
| MOLLO | 1 |
0%
|
|
| MONGONDOW | 59 |
1.2%
|
|
| MONI | 1 |
0%
|
|
| MOPADARA | 1 |
0%
|
|
| MOROW | 1 |
0%
|
|
| MOWU | 1 |
0%
|
|
| MUDA | 1 |
0%
|
|
| MUDA PUKE | 1 |
0%
|
|
| MUDAI | 1 |
0%
|
|
| MUDAP | 1 |
0%
|
|
| MUDEGAGI | 1 |
0%
|
|
| MUSAMILI | 1 |
0%
|
|
| NABEN | 1 |
0%
|
|
| NABOLO | 1 |
0%
|
|
| NABU | 1 |
0%
|
|
| NAKA | 1 |
0%
|
|
| NAREK | 1 |
0%
|
|
| NATAR GAHAR | 1 |
0%
|
|
| NDEOTMI | 1 |
0%
|
|
| NDORIWANGGE | 1 |
0%
|
|
| NEKEN | 1 |
0%
|
|
| NGAJO | 1 |
0%
|
|
| NGENCUNG | 1 |
0%
|
|
| NIANG SALE | 1 |
0%
|
|
| NIFA | 1 |
0%
|
|
| NIPA | 2 |
0%
|
|
| NITJANO | 1 |
0%
|
|
| NUA | 1 |
0%
|
|
| NUANGANGO | 1 |
0%
|
|
| NURATA | 1 |
0%
|
|
| OLE | 1 |
0%
|
|
| OMBONAPA | 1 |
0%
|
|
| OSENG | 1 |
0%
|
|
| PAKA | 1 |
0%
|
|
| PANEA | 1 |
0%
|
|
| PAPUNA | 1 |
0%
|
|
| PARAKU | 1 |
0%
|
|
| PASAN | 1 |
0%
|
|
| PATI | 1 |
0%
|
|
| PATUNU DARA | 1 |
0%
|
|
| PEGAN | 1 |
0%
|
|
| PEUHULU | 1 |
0%
|
|
| PITUNGBANG | 1 |
0%
|
|
| POTIS | 1 |
0%
|
|
| PRAIMA DJANGGA | 1 |
0%
|
|
| PRAITUA | 1 |
0%
|
|
| PUKA | 1 |
0%
|
|
| PUKAN | 1 |
0%
|
|
| PULELE | 1 |
0%
|
|
| PUREK LOLON | 1 |
0%
|
|
| RACANG | 1 |
0%
|
|
| RAHONG | 1 |
0%
|
|
| RENGAS | 1 |
0%
|
|
| RIANG TOBI | 1 |
0%
|
|
| RIBERU | 1 |
0%
|
|
| RIWUK | 1 |
0%
|
|
| ROBIWALA | 1 |
0%
|
|
| ROKE KALO | 1 |
0%
|
|
| RONGAN | 1 |
0%
|
|
| RORONTALO | 1 |
0%
|
|
| ROTE | 53 |
1.1%
|
|
| ROTE TIMUR | 1 |
0%
|
|
| ROTO | 1 |
0%
|
|
| SABU | 15 |
0.3%
|
|
| SADI PUN | 1 |
0%
|
|
| SAKERA | 1 |
0%
|
|
| SAMA HAMPO | 1 |
0%
|
|
| SANAK | 1 |
0%
|
|
| SANGER | 6 |
0.1%
|
|
| SANGER TARUNA | 1 |
0%
|
|
| SANGIHE | 2 |
0%
|
|
| SANGIR | 45 |
0.9%
|
|
| SANGIR 95 | 1 |
0%
|
|
| SANGIR BESAR | 1 |
0%
|
|
| SANGIR TALAUT | 1 |
0%
|
|
| SANTE | 1 |
0%
|
|
| SAOSUWE | 1 |
0%
|
|
| SATAL (SANGIR TALAUD) | 1 |
0%
|
|
| SEDA WANGGE | 1 |
0%
|
|
| SELOLONG | 1 |
0%
|
|
| SESA MAKING | 1 |
0%
|
|
| SESOH | 1 |
0%
|
|
| SIAU | 1 |
0%
|
|
| SIKKA | 8 |
0.2%
|
|
| SIKKA FLORES | 1 |
0%
|
|
| SIKKA KROWE | 1 |
0%
|
|
| SINGABU | 1 |
0%
|
|
| SINGGAJATA | 1 |
0%
|
|
| SOGE | 2 |
0%
|
|
| SOGE MAKEN | 1 |
0%
|
|
| SOGET | 1 |
0%
|
|
| SON | 1 |
0%
|
|
| SONLAY MONE | 1 |
0%
|
|
| SORIWUTUN | 1 |
0%
|
|
| SUBO | 1 |
0%
|
|
| SUKALUMBA | 1 |
0%
|
|
| SUKU TIMOR | 1 |
0%
|
|
| SUKU AMBUDALE | 1 |
0%
|
|
| SUKU ARA | 1 |
0%
|
|
| SUKU ATANILA | 1 |
0%
|
|
| SUKU BAJO | 2 |
0%
|
|
| SUKU BAWANA | 1 |
0%
|
|
| SUKU BELAGAR | 1 |
0%
|
|
| SUKU BEREWU MAKING | 1 |
0%
|
|
| SUKU CUMBI | 1 |
0%
|
|
| SUKU CURU | 1 |
0%
|
|
| SUKU ENU | 1 |
0%
|
|
| SUKU FLORES | 3 |
0.1%
|
|
| SUKU GOBANG | 1 |
0%
|
|
| SUKU GORONTALO | 2 |
0%
|
|
| SUKU HADA NUNU | 1 |
0%
|
|
| SUKU JAWA | 10 |
0.2%
|
|
| SUKU JEKE | 1 |
0%
|
|
| SUKU KAMENMAU | 1 |
0%
|
|
| SUKU KEBI | 1 |
0%
|
|
| SUKU KEROKO | 1 |
0%
|
|
| SUKU KOLI | 1 |
0%
|
|
| SUKU LAURA (KAREDI) | 1 |
0%
|
|
| SUKU LEJAP | 1 |
0%
|
|
| SUKU LENA | 1 |
0%
|
|
| SUKU LEWAR | 2 |
0%
|
|
| SUKU LEWEROK | 1 |
0%
|
|
| SUKU LIO | 6 |
0.1%
|
|
| SUKU LISE | 1 |
0%
|
|
| SUKU LIWU | 2 |
0%
|
|
| SUKU LUTUR | 1 |
0%
|
|
| SUKU MADURA | 2 |
0%
|
|
| SUKU MALI DUA | 1 |
0%
|
|
| SUKU MANGGARAI | 4 |
0.1%
|
|
| SUKU MANOLA | 1 |
0%
|
|
| SUKU MANULA | 1 |
0%
|
|
| SUKU MAU | 1 |
0%
|
|
| SUKU MBENGU | 1 |
0%
|
|
| SUKU MENI | 2 |
0%
|
|
| SUKU MERAH | 1 |
0%
|
|
| SUKU MINAHASA | 1 |
0%
|
|
| SUKU MUHAN | 1 |
0%
|
|
| SUKU NIPAH | 1 |
0%
|
|
| SUKU PAKA | 1 |
0%
|
|
| SUKU PONGKOR | 1 |
0%
|
|
| SUKU PUNTU | 1 |
0%
|
|
| SUKU PUUK TANA PUAN | 1 |
0%
|
|
| SUKU RAPE (ENDE-FLORES) | 1 |
0%
|
|
| SUKU RASI | 1 |
0%
|
|
| SUKU REMBONG | 1 |
0%
|
|
| SUKU ROTE | 1 |
0%
|
|
| SUKU SAGE | 1 |
0%
|
|
| SUKU SANGIR | 1 |
0%
|
|
| SUKU SENE | 1 |
0%
|
|
| SUKU SIKKA | 1 |
0%
|
|
| SUKU SOGE WELUK | 1 |
0%
|
|
| SUKU SUKA | 1 |
0%
|
|
| SUKU SUMBA | 3 |
0.1%
|
|
| SUKU SUNDA | 1 |
0%
|
|
| SUKU TABUNDUNG | 2 |
0%
|
|
| SUKU TAGA | 1 |
0%
|
|
| SUKU TANARIA | 1 |
0%
|
|
| SUKU TENDA | 2 |
0%
|
|
| SUKU TIDAS | 1 |
0%
|
|
| SUKU TIMOR | 3 |
0.1%
|
|
| SUKU TOBI | 1 |
0%
|
|
| SUKU TOU HOGA | 1 |
0%
|
|
| SUKU TUKE | 1 |
0%
|
|
| SUKU TULAPARENG | 1 |
0%
|
|
| SUKU UNGGU | 2 |
0%
|
|
| SUKU WEOL | 1 |
0%
|
|
| SUKU WESANG | 1 |
0%
|
|
| SUKU WOLENGU | 1 |
0%
|
|
| SUKU WOTAN (SUKU ASLI) | 1 |
0%
|
|
| SUKU WUHAN | 1 |
0%
|
|
| SUKU WUTUN | 1 |
0%
|
|
| SUKUB MATOLANG | 1 |
0%
|
|
| SUMBA | 48 |
1%
|
|
| SUMBA TIMUR | 1 |
0%
|
|
| SUMBU | 1 |
0%
|
|
| SUMDA | 1 |
0%
|
|
| SUNADA | 2 |
0%
|
|
| SUNDA | 1302 |
25.8%
|
|
| SUNDA JAWA | 1 |
0%
|
|
| SUNDA JAWA BATAK | 1 |
0%
|
|
| SUNDA' | 1 |
0%
|
|
| SYNDA | 1 |
0%
|
|
| TALPI | 1 |
0%
|
|
| TANA MAING | 1 |
0%
|
|
| TANANGGOE | 1 |
0%
|
|
| TANAUAK | 1 |
0%
|
|
| TANGLAPUI | 1 |
0%
|
|
| TANTI FRATI | 1 |
0%
|
|
| TAPOBALI | 1 |
0%
|
|
| TARATU | 1 |
0%
|
|
| TARBE | 1 |
0%
|
|
| TAWATUNG | 1 |
0%
|
|
| TAWIRI | 2 |
0%
|
|
| TEBA | 1 |
0%
|
|
| TEKIK | 1 |
0%
|
|
| TEME | 1 |
0%
|
|
| TENGGER | 2 |
0%
|
|
| TENO | 1 |
0%
|
|
| TIMOR | 141 |
2.8%
|
|
| TIMOR (DAWAN)_ | 1 |
0%
|
|
| TIMOR 99 | 1 |
0%
|
|
| TIMOR DAWAN | 1 |
0%
|
|
| TIMOR/TONI | 1 |
0%
|
|
| TIMUR | 1 |
0%
|
|
| TIONGHOA | 1 |
0%
|
|
| TOH | 1 |
0%
|
|
| TOLOK | 1 |
0%
|
|
| TOMSAWANG | 1 |
0%
|
|
| TONSEA | 1 |
0%
|
|
| TOTEMBOAN | 1 |
0%
|
|
| TOUPUPU | 1 |
0%
|
|
| TUANOLO | 1 |
0%
|
|
| TUKAN | 3 |
0.1%
|
|
| TUKAN DUNGAN | 1 |
0%
|
|
| TULAPRAING | 1 |
0%
|
|
| TULASI | 1 |
0%
|
|
| TUMBU KARAMBU | 1 |
0%
|
|
| TUMBU TARU | 1 |
0%
|
|
| UADA | 1 |
0%
|
|
| UBEWI | 1 |
0%
|
|
| UBU KAWALEKA | 1 |
0%
|
|
| UBU OLETA | 1 |
0%
|
|
| UBU TEDA | 1 |
0%
|
|
| UBUTEDA | 1 |
0%
|
|
| UMA MBURUNG | 1 |
0%
|
|
| UMAKAKANG | 1 |
0%
|
|
| UMAKALA | 1 |
0%
|
|
| UMBU PAROWA | 1 |
0%
|
|
| UMBUKOBA | 1 |
0%
|
|
| UTAALEHA | 1 |
0%
|
|
| WAI LAWA | 1 |
0%
|
|
| WAI NADUONG | 1 |
0%
|
|
| WAJANG | 2 |
0%
|
|
| WAKE | 1 |
0%
|
|
| WANGGE | 2 |
0%
|
|
| WANGKIL | 1 |
0%
|
|
| WANGTABO | 1 |
0%
|
|
| WANNO BERA | 1 |
0%
|
|
| WATOHWAN | 1 |
0%
|
|
| WEDANG | 1 |
0%
|
|
| WEE LEO | 2 |
0%
|
|
| WEE LEWO | 1 |
0%
|
|
| WEE NDOLE DETA | 1 |
0%
|
|
| WEELEO | 2 |
0%
|
|
| WEGALI | 1 |
0%
|
|
| WELADDE | 1 |
0%
|
|
| WELEO | 1 |
0%
|
|
| WELOWA | 1 |
0%
|
|
| WEOL | 1 |
0%
|
|
| WERANG | 1 |
0%
|
|
| WESANG | 1 |
0%
|
|
| WETIK | 1 |
0%
|
|
| WEWEWA | 1 |
0%
|
|
| WITAK | 1 |
0%
|
|
| WOLO | 1 |
0%
|
|
| WONGA | 2 |
0%
|
|
| WUKAK | 1 |
0%
|
|
| WUNGBLOLONG | 1 |
0%
|
|
| WUWUR | 1 |
0%
|
|
| YAMAN | 1 |
0%
|
|
| YENIKARI | 1 |
0%
|
|
| YOPOPADA | 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.