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
Arrondissement/District (f1_id3)
Data file: f1_personnel_anonymous
Overview
Valid:
2501
Invalid:
0
Type:
Discrete
Decimal:
0
Start:
4
End:
5
Width:
2
Range:
1 - 94
Format:
Numeric
Questions and instructions
Literal question
Arrondissement/District
Categories
| Value | Category | Cases | |
|---|---|---|---|
| 1 | Boko-songho | 0 |
0%
|
| 2 | Kayes | 0 |
0%
|
| 3 | Kingoue | 0 |
0%
|
| 4 | Loudima | 18 |
0.7%
|
| 5 | Mabombo | 14 |
0.6%
|
| 6 | Madingou | 36 |
1.4%
|
| 7 | Mfouati | 6 |
0.2%
|
| 8 | Mouyondzi | 31 |
1.2%
|
| 9 | Nkayi | 23 |
0.9%
|
| 10 | Tsiaki | 0 |
0%
|
| 11 | Yamba | 0 |
0%
|
| 12 | Brazzaville | 860 |
34.4%
|
| 13 | Boundji | 8 |
0.3%
|
| 14 | Loukolela | 10 |
0.4%
|
| 15 | Makoua | 18 |
0.7%
|
| 16 | Mossaka | 22 |
0.9%
|
| 17 | Ngoko | 5 |
0.2%
|
| 18 | Ntokou | 0 |
0%
|
| 19 | Owando | 11 |
0.4%
|
| 20 | Oyo | 33 |
1.3%
|
| 21 | Tchikapika | 5 |
0.2%
|
| 22 | Etoumbi | 31 |
1.2%
|
| 23 | Ewo | 15 |
0.6%
|
| 24 | Kelle | 16 |
0.6%
|
| 25 | Mbama | 0 |
0%
|
| 26 | Mbomo | 16 |
0.6%
|
| 27 | Okoyo | 10 |
0.4%
|
| 28 | Hinda | 13 |
0.5%
|
| 29 | Kakamoeka | 6 |
0.2%
|
| 30 | Madingo kayes | 2 |
0.1%
|
| 31 | Mvouti | 11 |
0.4%
|
| 32 | Nzambi | 3 |
0.1%
|
| 33 | Tchiamba-nzassi | 0 |
0%
|
| 34 | Bambama | 11 |
0.4%
|
| 35 | Komono | 8 |
0.3%
|
| 36 | Mayeye | 0 |
0%
|
| 37 | Sibiti | 45 |
1.8%
|
| 38 | Zanaga | 9 |
0.4%
|
| 39 | Betou | 21 |
0.8%
|
| 40 | Bouanila | 0 |
0%
|
| 41 | Dongou | 4 |
0.2%
|
| 42 | Enyelle | 7 |
0.3%
|
| 43 | Epena | 5 |
0.2%
|
| 44 | Impfondo | 39 |
1.6%
|
| 45 | Liranga | 0 |
0%
|
| 46 | Banda | 9 |
0.4%
|
| 47 | Divenie | 0 |
0%
|
| 48 | Dolisie | 94 |
3.8%
|
| 49 | Kibangou | 15 |
0.6%
|
| 50 | Kimongo | 0 |
0%
|
| 51 | Londela kayes | 0 |
0%
|
| 52 | Louvakou | 7 |
0.3%
|
| 53 | Makabana | 0 |
0%
|
| 54 | Mayoko | 6 |
0.2%
|
| 55 | Mbinda | 0 |
0%
|
| 56 | Mossendjo | 26 |
1%
|
| 57 | Moungoundou nord | 0 |
0%
|
| 58 | Moungoundou sud | 5 |
0.2%
|
| 59 | Moutamba | 0 |
0%
|
| 60 | Nyanga | 8 |
0.3%
|
| 61 | Yaya | 0 |
0%
|
| 62 | Abala | 15 |
0.6%
|
| 63 | Allembe | 0 |
0%
|
| 64 | Djambala | 49 |
2%
|
| 65 | Gamboma | 92 |
3.7%
|
| 66 | Lekana | 9 |
0.4%
|
| 67 | Makotimpoko | 11 |
0.4%
|
| 68 | Mbon | 2 |
0.1%
|
| 69 | Mpouya | 14 |
0.6%
|
| 70 | Ngo | 13 |
0.5%
|
| 71 | Ollombo | 20 |
0.8%
|
| 72 | Ongogni | 7 |
0.3%
|
| 73 | Pointe-noire 1 | 347 |
13.9%
|
| 74 | Pointe-noire 2 | 25 |
1%
|
| 75 | Boko | 6 |
0.2%
|
| 76 | Goma tse-tse | 30 |
1.2%
|
| 77 | Igne ex pk rou | 43 |
1.7%
|
| 78 | Kimba | 9 |
0.4%
|
| 79 | Kindamba | 22 |
0.9%
|
| 80 | Kinkala | 32 |
1.3%
|
| 81 | Louingui | 13 |
0.5%
|
| 82 | Loumo | 0 |
0%
|
| 83 | Mayama | 0 |
0%
|
| 84 | Mbanza-ndounga | 11 |
0.4%
|
| 85 | Mindouli | 74 |
3%
|
| 86 | Ngabe | 11 |
0.4%
|
| 87 | Vindza | 2 |
0.1%
|
| 88 | Mokeko | 27 |
1.1%
|
| 89 | Ngbala | 0 |
0%
|
| 90 | Ouesso | 42 |
1.7%
|
| 91 | Pikounda | 0 |
0%
|
| 92 | Sembe | 8 |
0.3%
|
| 93 | Sembe | 15 |
0.6%
|
| 94 | Souanke | 10 |
0.4%
|
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.