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    Home / Central Data Catalog / IMPACT_EVALUATION / ZMB_2011_HRBFIE-HFBL_V01_M / variable [F8]
impact_evaluation

Health Results-Based Financing Impact Evaluation 2011, Health Facility Baseline Survey

Zambia, 2011
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Reference ID
ZMB_2011_HRBFIE-HFBL_v01_M
Producer(s)
Jed Friedman
Collection(s)
Impact Evaluation Surveys
Metadata
Documentation in PDF DDI/XML JSON
Created on
Jun 27, 2023
Last modified
Jun 27, 2023
Page views
66721
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  • utilhmis
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  • dodrugs

district (dist)

Data file: utilhmis

Overview

Valid: 4884
Invalid: 0
Minimum: 101
Maximum: 907
Type: Discrete
Decimal: 0
Width: 13
Range: 101 - 907
Format: Numeric

Questions and instructions

Categories
Value Category Cases
101 Chibombo 145
3%
102 Kabwe 0
0%
103 Kapiri-mposhi 217
4.4%
104 Mkushi 0
0%
105 Mumbwa 332
6.8%
106 Serenje 0
0%
201 Chililabombwe 0
0%
202 Chingola 0
0%
203 Kalulushi 0
0%
204 Kitwe 0
0%
205 Luanshya 0
0%
206 Lufwanyama 268
5.5%
207 Masaiti 181
3.7%
208 Mpongwe 37
0.8%
209 Mufulira 0
0%
210 Ndola 0
0%
301 Chadiza 185
3.8%
302 Chama 0
0%
303 Chipata 0
0%
304 Katete 0
0%
305 Lundazi 220
4.5%
306 Mambwe 0
0%
307 Nyimba 75
1.5%
308 Petauke 0
0%
401 Chienge 0
0%
402 Kawambwa 140
2.9%
403 Mansa 0
0%
404 Milenge 185
3.8%
405 Mwense 325
6.7%
406 Nchelenge 0
0%
407 Samfya 0
0%
501 Chongwe 0
0%
502 Kafue 0
0%
503 Luangwa 0
0%
504 Lusaka 0
0%
601 Chilubi 37
0.8%
602 Chinsali 184
3.8%
603 Isoka 113
2.3%
604 Kaputa 0
0%
605 Kasama 0
0%
606 Luwingu 0
0%
607 Mbala 0
0%
608 Mpika 0
0%
609 Mporokoso 244
5%
610 Mpulungu 185
3.8%
611 Mungwi 0
0%
612 Nakonde 186
3.8%
701 Chavuma 148
3%
702 Kabompo 0
0%
703 Kasempa 0
0%
704 Mufumbwe 0
0%
705 Mwinilunga 209
4.3%
706 Solwezi 0
0%
707 Zambezi 0
0%
801 Choma 0
0%
802 Gwembe 214
4.4%
803 Itezhi-tezhi 118
2.4%
804 Kalomo 0
0%
805 Kazungula 165
3.4%
806 Livingstone 0
0%
807 Mazabuka 100
2%
808 Monze 0
0%
809 Namwala 207
4.2%
810 Siavonga 260
5.3%
811 Sinazongwe 0
0%
901 Kalabo 73
1.5%
902 Kaoma 0
0%
903 Lukulu 0
0%
904 Mongu 0
0%
905 Senanga 94
1.9%
906 Sesheke 0
0%
907 Shang'ombo 37
0.8%
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.
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