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
Page views
210053
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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
CSS (f1_id4)
Data file: f1_personnel_anonymous
Overview
Valid:
2501
Invalid:
0
Type:
Discrete
Decimal:
0
Start:
6
End:
9
Width:
4
Range:
101 - 1202
Format:
Numeric
Questions and instructions
Literal question
CSS
Categories
| Value | Category | Cases | |
|---|---|---|---|
| 101 | Nkayi-Loudima | 48 |
1.9%
|
| 102 | Madingou | 34 |
1.4%
|
| 103 | Mouyondzi | 31 |
1.2%
|
| 104 | Loutété | 15 |
0.6%
|
| 201 | Makélékélé | 125 |
5%
|
| 202 | Bacongo | 73 |
2.9%
|
| 203 | Poto-Poto | 98 |
3.9%
|
| 204 | Moungali | 100 |
4%
|
| 205 | Ouenzé | 171 |
6.8%
|
| 206 | Talangaï | 150 |
6%
|
| 207 | Mfilou | 101 |
4%
|
| 208 | Madibou | 42 |
1.7%
|
| 301 | Mossaka-Loukoléla | 32 |
1.3%
|
| 302 | Alima | 46 |
1.8%
|
| 303 | Owando | 34 |
1.4%
|
| 401 | Etoumbi | 63 |
2.5%
|
| 402 | EWO | 25 |
1%
|
| 501 | Madingo-Kayes | 11 |
0.4%
|
| 502 | Hinda-Mvouti | 24 |
1%
|
| 601 | Zanaga-Bambama | 20 |
0.8%
|
| 602 | Sibiti | 53 |
2.1%
|
| 701 | Enyelle-Betou | 28 |
1.1%
|
| 702 | Impfondo | 48 |
1.9%
|
| 801 | Dolisie | 101 |
4%
|
| 802 | Kibangou | 32 |
1.3%
|
| 803 | Mossendjo | 37 |
1.5%
|
| 901 | Djambala-Lékana | 87 |
3.5%
|
| 902 | Gamboma | 110 |
4.4%
|
| 903 | Abala | 35 |
1.4%
|
| 1001 | Lumumba | 95 |
3.8%
|
| 1002 | Mvoumvou | 48 |
1.9%
|
| 1003 | Tié-Tié | 94 |
3.8%
|
| 1004 | Loandjili | 68 |
2.7%
|
| 1005 | N'Goyo | 14 |
0.6%
|
| 1006 | Mongo Mpoukou | 53 |
2.1%
|
| 1101 | Kinkala-Boko | 51 |
2%
|
| 1102 | Goma Tsé-Tsé | 43 |
1.7%
|
| 1103 | Mindouli | 72 |
2.9%
|
| 1104 | Kindamba-Vinza | 33 |
1.3%
|
| 1105 | Ignié-Ngabé | 54 |
2.2%
|
| 1201 | Souanké | 33 |
1.3%
|
| 1202 | Ouesso | 69 |
2.8%
|
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.