Health Results-Based Financing Impact Evaluation 2014, Baseline Survey
Congo, Rep., 2014
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Reference ID
COG_2014_HRBFIE-BL_v01_M
Producer(s)
Paul Jacob Robyn
Collection(s)
Metadata
Created on
May 31, 2017
Last modified
May 31, 2017
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- Data files
- anthro_enfants_anonymous
- anthro_femmes_anonymous
- f1_personnel_anonymous
- f1_principal_anonymous
- f2_agentsante_anonymous
- f3_cpn_anonymous
- f4_child_anonymous
- f5_cpn_anonymous
- f6_child_anonymous
- f7_adult_anonymous
- f8_rc_anonymous
- fh_grossesse_anonymous
- fh_histnais_anonymous
- fh_individus_anonymous
- fh_mortalite_anonymous
- fh_pre&postnatals_anonymous
- fh_santerepro_anonymous
- fh_taille&poids_anonymous
- fh_utilisationrc_anonymous
- fh_vaccination_anonymous
Village/quartier où s'est effectué ce Troisième recours (fh_09_213)
Data file: fh_individus_anonymous
Overview
Valid:
414
Invalid:
0
Type:
Discrete
Start:
1146
End:
1178
Width:
33
Range:
-
Format:
character
Questions and instructions
Categories
| Value | Category | Cases | |
|---|---|---|---|
| 0 | 68 |
16.4%
|
|
| 030 | 1 |
0.2%
|
|
| 99 | 50 |
12.1%
|
|
| Akana | 1 |
0.2%
|
|
| BACONGO | 1 |
0.2%
|
|
| BAME | 2 |
0.5%
|
|
| BOLOZO | 2 |
0.5%
|
|
| Bacongo | 3 |
0.7%
|
|
| Bambama | 2 |
0.5%
|
|
| Bendama | 3 |
0.7%
|
|
| Bia | 1 |
0.2%
|
|
| Bivela | 1 |
0.2%
|
|
| Bouansa | 1 |
0.2%
|
|
| Bouemba | 1 |
0.2%
|
|
| Boundji | 1 |
0.2%
|
|
| Bowando | 1 |
0.2%
|
|
| Brazzaville | 4 |
1%
|
|
| Brazzaville,kibina | 1 |
0.2%
|
|
| CENTRE. DE. SANTE INGRE. DE SEMBE | 1 |
0.2%
|
|
| CHU | 1 |
0.2%
|
|
| CIB | 1 |
0.2%
|
|
| CSI de Mayama | 1 |
0.2%
|
|
| Cabinet | 1 |
0.2%
|
|
| Centre de santé de ntombo | 1 |
0.2%
|
|
| Centre ville | 8 |
1.9%
|
|
| Centre villr | 1 |
0.2%
|
|
| Chic abala | 1 |
0.2%
|
|
| Château d'aeu | 1 |
0.2%
|
|
| Clinique | 3 |
0.7%
|
|
| Cq4 | 1 |
0.2%
|
|
| Csi | 1 |
0.2%
|
|
| Csi Nganga lingolo | 1 |
0.2%
|
|
| Dimebeko | 1 |
0.2%
|
|
| Dispensaire de tenrikyo | 1 |
0.2%
|
|
| Djambala | 1 |
0.2%
|
|
| Dolisie | 2 |
0.5%
|
|
| Dzeke | 1 |
0.2%
|
|
| ELOGO 2 | 1 |
0.2%
|
|
| Edou | 1 |
0.2%
|
|
| Elendjo | 1 |
0.2%
|
|
| Elogo | 1 |
0.2%
|
|
| Elogo 2 | 1 |
0.2%
|
|
| Etoumbi | 1 |
0.2%
|
|
| Ewo | 4 |
1%
|
|
| GOA | 2 |
0.5%
|
|
| Gamboma | 1 |
0.2%
|
|
| Gaïa | 1 |
0.2%
|
|
| Goma tse-tse | 1 |
0.2%
|
|
| Gombe | 2 |
0.5%
|
|
| Guela | 1 |
0.2%
|
|
| Hinda | 2 |
0.5%
|
|
| Hopital | 1 |
0.2%
|
|
| Hôpital de kimkala | 1 |
0.2%
|
|
| Hôpital de tonbo | 1 |
0.2%
|
|
| Impfondo | 2 |
0.5%
|
|
| Impini | 1 |
0.2%
|
|
| Imvouba | 1 |
0.2%
|
|
| Indzouli | 1 |
0.2%
|
|
| Ipombo | 2 |
0.5%
|
|
| KOMO | 1 |
0.2%
|
|
| Kakamoeka | 2 |
0.5%
|
|
| Kekele | 1 |
0.2%
|
|
| Kendi | 1 |
0.2%
|
|
| Kindamba | 1 |
0.2%
|
|
| Kindele | 1 |
0.2%
|
|
| Kingouala | 3 |
0.7%
|
|
| Kinkala | 5 |
1.2%
|
|
| Kinsoudi | 1 |
0.2%
|
|
| Kinsoundi | 2 |
0.5%
|
|
| Kissoko | 1 |
0.2%
|
|
| Komo | 1 |
0.2%
|
|
| Koubola chez docteur kouba | 1 |
0.2%
|
|
| Kuikou | 1 |
0.2%
|
|
| Lague | 2 |
0.5%
|
|
| Lekana | 1 |
0.2%
|
|
| Likouala | 1 |
0.2%
|
|
| Linengue | 1 |
0.2%
|
|
| Lirangua centre | 2 |
0.5%
|
|
| Lisanga | 2 |
0.5%
|
|
| Loaka | 1 |
0.2%
|
|
| Loeme | 1 |
0.2%
|
|
| Lokakoua | 1 |
0.2%
|
|
| Londela-kayes | 1 |
0.2%
|
|
| Londelakayes | 1 |
0.2%
|
|
| Loulombo | 1 |
0.2%
|
|
| Loussala | 1 |
0.2%
|
|
| Léniongolo | 1 |
0.2%
|
|
| Léweme | 1 |
0.2%
|
|
| MBINDZO | 1 |
0.2%
|
|
| Makana 2 | 1 |
0.2%
|
|
| Makayabou/Loadjili pointe_Noire | 1 |
0.2%
|
|
| Makelekele | 5 |
1.2%
|
|
| Makotimpoko | 1 |
0.2%
|
|
| Makoua | 1 |
0.2%
|
|
| Makélékélé | 2 |
0.5%
|
|
| Mansiedi | 1 |
0.2%
|
|
| Mantsiedi | 1 |
0.2%
|
|
| Mantsiedie | 1 |
0.2%
|
|
| Massembo Loubaki | 1 |
0.2%
|
|
| Matsiedi | 1 |
0.2%
|
|
| Mayanga | 1 |
0.2%
|
|
| Mayanou | 1 |
0.2%
|
|
| Mayeye | 1 |
0.2%
|
|
| Mayéyé | 1 |
0.2%
|
|
| Mbama | 4 |
1%
|
|
| Mbanza ecole | 1 |
0.2%
|
|
| Mbinjalou | 1 |
0.2%
|
|
| Mbomo | 2 |
0.5%
|
|
| Mboukou | 2 |
0.5%
|
|
| Mbé | 1 |
0.2%
|
|
| Mfilou | 1 |
0.2%
|
|
| Mihoumi | 1 |
0.2%
|
|
| Mikakaya | 2 |
0.5%
|
|
| Mindouli | 1 |
0.2%
|
|
| Missafou | 1 |
0.2%
|
|
| Missongo | 1 |
0.2%
|
|
| Mont fleurie | 1 |
0.2%
|
|
| Motokoumba | 1 |
0.2%
|
|
| Mouale | 2 |
0.5%
|
|
| Mougoundou | 1 |
0.2%
|
|
| Moukeke | 2 |
0.5%
|
|
| Moupitou | 1 |
0.2%
|
|
| Moutabala | 2 |
0.5%
|
|
| Mouyondzi | 2 |
0.5%
|
|
| Mpaka | 1 |
0.2%
|
|
| Muana Nto | 1 |
0.2%
|
|
| NGOMBE | 2 |
0.5%
|
|
| NZALANGOYE | 1 |
0.2%
|
|
| Ndolo | 1 |
0.2%
|
|
| Nganga kobo | 2 |
0.5%
|
|
| Ngaya | 1 |
0.2%
|
|
| Ngo | 2 |
0.5%
|
|
| Ngombe | 2 |
0.5%
|
|
| Ngouoni | 2 |
0.5%
|
|
| Ngoyo | 1 |
0.2%
|
|
| Ngpmbe | 1 |
0.2%
|
|
| Nkayi | 1 |
0.2%
|
|
| Nkoue | 1 |
0.2%
|
|
| Nkouni gare | 1 |
0.2%
|
|
| Nkouo | 1 |
0.2%
|
|
| Ntari | 1 |
0.2%
|
|
| Ntsama1 | 1 |
0.2%
|
|
| Nyanga | 4 |
1%
|
|
| Nzassi | 2 |
0.5%
|
|
| O | 11 |
2.7%
|
|
| OYO | 1 |
0.2%
|
|
| Och | 1 |
0.2%
|
|
| Okondo | 1 |
0.2%
|
|
| Okou | 1 |
0.2%
|
|
| Okoyo | 1 |
0.2%
|
|
| Ollombo | 1 |
0.2%
|
|
| Ongongi | 1 |
0.2%
|
|
| Ongouoni | 1 |
0.2%
|
|
| Ouesso | 10 |
2.4%
|
|
| Owando | 2 |
0.5%
|
|
| Oya | 2 |
0.5%
|
|
| Oyabi | 2 |
0.5%
|
|
| POKOLA | 1 |
0.2%
|
|
| Paroisse | 1 |
0.2%
|
|
| Pointe noire | 1 |
0.2%
|
|
| Pointé_Noire | 1 |
0.2%
|
|
| Pokola | 1 |
0.2%
|
|
| Ponite noire | 1 |
0.2%
|
|
| Pont du nairi | 1 |
0.2%
|
|
| Pont du niari | 1 |
0.2%
|
|
| Poste | 1 |
0.2%
|
|
| Posté | 1 |
0.2%
|
|
| Poto-Poto | 1 |
0.2%
|
|
| Quartier 2 | 1 |
0.2%
|
|
| Quartier 4 voumba | 1 |
0.2%
|
|
| Quartier mangandzi | 1 |
0.2%
|
|
| Quartier mont fleuri | 1 |
0.2%
|
|
| SEMBE | 1 |
0.2%
|
|
| Savon | 1 |
0.2%
|
|
| Sembe | 11 |
2.7%
|
|
| Sembé | 2 |
0.5%
|
|
| Sept sept de dani | 2 |
0.5%
|
|
| Solouka | 1 |
0.2%
|
|
| Souanke | 3 |
0.7%
|
|
| Souanké | 1 |
0.2%
|
|
| Tala tala | 2 |
0.5%
|
|
| Talangai | 1 |
0.2%
|
|
| Talatala | 1 |
0.2%
|
|
| Tie Tie | 1 |
0.2%
|
|
| Tiè tiè | 1 |
0.2%
|
|
| Tsaimoukoutou (RDC) | 1 |
0.2%
|
|
| Tsama | 1 |
0.2%
|
|
| Tsama1 | 1 |
0.2%
|
|
| Tétébe | 1 |
0.2%
|
|
| Village Ngabe | 1 |
0.2%
|
|
| Vougou | 1 |
0.2%
|
|
| Yangi | 1 |
0.2%
|
|
| ZOULA | 1 |
0.2%
|
|
| ZOULABOUTH | 3 |
0.7%
|
|
| Zanaga | 1 |
0.2%
|
|
| Zulambout | 1 |
0.2%
|
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.