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PMA Nigeria (Kano, Lagos) Phase 4 Client Exit Interview Survey (2024)
No full textPMA Nigeria (Kano & Lagos) Phase 4 Client Exit Interview Survey includes 25 enumeration areas (EAs) in Kano and 52 EAs in Lagos. The EAs were drawn using the same stratified cluster design with urban-rural strata from the National Population Commission’s master sampling frame. The results are representative at the state level. The final sample included 780 clients in Kano and 624 clients in Lagos which completed the interview. Data collection was conducted between December 2023 and January 2024. More information about this dataset can be found in the corresponding codebook, accessible at https://doi.org/10.34976/1hrp-p268</a
PMA2020 Ethiopia Round 3 Household & Female Survey (2015)
No full textEthiopia Round 3 Household and Female (HQFQ) survey used a two-stage cluster design with urban-rural and major regions as strata. A sample of 221 enumeration areas (EA) was drawn by the Central Statistical Agency from its master sampling frame. Each EA was listed and mapped; 35 households were randomly selected. Occupants in selected households were enumerated and eligible females of reproductive age (15-49) were contacted and consented for interview. The final sample included 7,643 completed households, and 7,545 completed de facto females. Data collection was conducted between April and May, 2015. More information about this dataset can be found in the corresponding codebook, accessible at https://doi.org/10.34976/b88s-zx32</a
PMA2020 Democratic Republic of Congo (Kinshasa, Kongo Central) Round 4 Service Delivery Point Survey (2016)
No full textDemocratic Republic of Congo (Kinshasa) Round 4 Service Delivery Point (SQ) survey used a two-stage cluster design. A sample of 58 enumeration areas (EAs) was drawn. Each EA was listed and mapped. Public facilities were included if a selected EA fell within the catchment area. Private facilities were included if they fell within the boundaries of the EA. Data collection was conducted between October, 2015 and January, 2016. The final completed sample was 228 SDPs.Democratic Republic of Congo (Kongo Central) Round 4 Service Delivery Point (SQ) survey used a two-stage cluster design. A sample of 52 enumeration areas (EAs) was drawn. Each EA was listed and mapped. Public facilities were included if a selected EA fell within the catchment area. Private facilities were included if they fell within the boundaries of the EA. Data collection was conducted between October, 2015 and January, 2016. The final completed sample was 120 SDPs. More information about this dataset can be found in the corresponding codebook, accessible at https://doi.org/10.34976/vfbp-bz42</a
PMA2020 Uganda Round 4 Service Delivery Point Survey (2016)
No full textUganda Round 4 Service Delivery Point survey (SQ) used a two-stage cluster design with sub-region as strata. A sample of 110 enumeration areas (EAs) was drawn by the Uganda Bureau of Statistics from its master sampling frame. Each EA was listed and mapped. Public facilities were included if a selected EA fell within the catchment area. Private facilities were included if they fell within the boundaries of the EA. Data collection was conducted between March and May, 2016. The final completed sample in Uganda Round 4 was 350 SDPs. More information about this dataset can be found in the corresponding codebook, accessible at https://doi.org/10.34976/vfbp-bz42</a
PMA2020 Niger Round 4 Household & Female Survey (2017)
No full textNiger (National) Round 4 Household and Female (HQFQ) survey used a two-stage cluster design with Niamey, urban areas outside of Niamey, and rural areas as the strata. A total of 84 enumeration areas (EAs) (51 outside of and 33 within Niamey) were selected, using probability proportional to size, from a sampling frame provide by the Fourth General Census of Population and Housing, conducted by Niger’s National Statistics Institute in 2012. During data collection, one EA was inaccessible due to extreme weather and was excluded from the sample, resulting in a total of 83 EAs in the sample. Each EA was listed and mapped; 35 households were randomly selected. Occupants in selected households were enumerated and eligible females of reproductive age (15-49) were contacted and consented for interview. Data collection was conducted between May and September 2017. The final sample size included 2,784 complete household interviews and 3,034 complete female interviews. More information about this dataset can be found in the corresponding codebook, accessible at https://doi.org/10.34976/b88s-zx32</a
PMA Nigeria (Kano, Lagos) Phase 4 Household and Female Survey (2024)
No full textPMA Nigeria (Kano & Lagos) Phase 4 Household and Female survey collects state-level representative data on knowledge, practice, and coverage of family planning services in 25 enumeration areas (EAs) in Kano and 52 EAs in Lagos selected using a multi-stage stratified cluster design with urban-rural strata. The final sample included 834 (99.5%) households and 1,187 (98.8%) females in Kano and 1,495 (93.3%) households and 1,250 (95.1%) females in Lagos who completed the interviews for the cross-sectional survey. The data was collected between November 2023 and February 2024.Kano Phase 4 panel data were collected among womenfrom Phase 1, Phase 2, and Phase 3 who consented to follow-up and aged 15-49y at Phase 4. Of the 1,213 women, 73.0% of womenenrolled in the panel survey at Phase 1 between December 2019 and January 2020, 10.6% of womenenrolled in the panel survey at Phase 2 between December 2020 and January 2021, and 16.4% of women enrolled in the panel survey at Phase 3 between December 2021 and January 2022. Of the 1213 women eligible for the panel survey at Phase 4, 19.2%of werenot reached for follow-up. Of those reached, 976 (80.5%) completed the survey, for a response rate of 99.8% among contacted women. The flowchart below provides the details on the loss to follow-up and panel women sample in Kano.Lagos Phase 4 panel data were collected among1720 womenfrom Phase 1, Phase 2 and Phase 3 who consented to follow-up and aged 15-49y at Phase 4. 64.2% of womenenrolled in the panel survey at Phase 1 between December 2019 and January 2020, 19.9% of womenenrolled in the panel survey at Phase 2 between December 2020 and January 2021, and 15.9% of women enrolled in the panel survey at Phase 3 between December 2021 and January 2022. Of the 1720 women eligible for the panel survey at Phase 4, 38.6%of werenot reached for follow-up. Of those reached, 989 (57.5%) completed the survey, for a response rate of 95.6% among contacted women. More information about this dataset can be found in the corresponding codebook, accessible at https://doi.org/10.34976/cjvx-z226</a
PMA2020 Kenya Round 6 Household & Female Survey (2017)
No full textKenya Round 6 Household and Female (HQFQ) survey used a multi-stage stratified cluster design with urban-rural and selected 11 counties as strata. A sample of 151 enumeration areas (EAs) was drawn by the Kenya National Bureau of Statistics from its master sampling frame. The round 6 sample included the two new counties, Kakamega and West Pokot, which were added in round 5. The same set of enumeration areas used from round 5 were selected, adjacent to the areas enumerated in the first four survey rounds. In each EA, households were listed and mapped, with 42 households randomly selected. Households were surveyed and occupants enumerated. All eligible females age 15 to 49 were contacted and consented for interviews. The final sample included 6,106 households and 5,913 females. Data collection was conducted between November and December 2017. More information about this dataset can be found in the corresponding codebook, accessible at https://doi.org/10.34976/b88s-zx32</a
PMA2020 Uganda Round 2 Service Delivery Point Survey (2015)
No full textUganda Round 2 Service Delivery Point (SQ) survey used a two-stage cluster design with urban-rural and sub-region as strata. A sample of 110 enumeration areas (EAs) was drawn by the Uganda Bureau of Statistics from its master sampling frame. Each EA was listed and mapped. Public facilities were included if a selected EA fell within the catchment area. Private facilities were included if they fell within the boundaries of the EA. Data collection was conducted between January and February, 2015. The final completed sample in Uganda Round 2 was 360 SDPs. More information about this dataset can be found in the corresponding codebook, accessible at https://doi.org/10.34976/vfbp-bz42</a
Data associated with: Digital Administrative Atlas of Mexico in 1900/Atlas digital administrativo de México en 1900.
No full textThis dataset, comprising four layers of shapefiles and attendant .csv files, provides a tool for mapping Mexico in and around 1900. It includes polygon and points layers representing the municipalities, districts, and states included in the 1900 Mexican census. It can be used to visualize and analyze information related to late nineteenth and early twentieth century Mexico with greater accuracy than GIS layers representing contemporary Mexico.
Esta base de datos, que incluye cuatro capas de archivos shape con sus correspondientes archivos csv, provee una herramienta para la cartografía de México en el año 1900. Incluye capas de polígonos y puntos que representan los municipios, distritos, y estados incluidos en el censo de México en 1900. Lo puede usar para visualizar y analizar información del siglo diecinueve y los primeros años del siglo veinte de México con más precisión de las capas SIG de México contemporaneo.</p
Data and code associated with the publication: Bayesian neural networks for predicting uncertainty in full-field material response
No full textThe dataset contains training, validation and testing data for the fiber reinforced composite and the polycrystalline material system. These are necessary for reproducing the results. In addition, the trajectories associated with the Hamiltonian Monte Carlo implementation are also made available. Software data include: .npy files associated with input-output training, validation and testing data for the fiber reinforced composite and the polycrystalline material dataset, respectively; .pkl files associate with the Hamiltonian Monte Carlo trajectorie