Logo Lanfrica
  • Home
  • Atlas
  • Insights
  • Docs
  • Sign in

© 2026 Lanfrica. All rights reserved. All copyrights of the resources shown on the Lanfrica website belong to the original copyright holders, unless explicitly stated otherwise.

SEEDNet Library SEEDNet: Settlement-level Epidemiological Estimates Datasets for Network Analysis

Domain:

healthcaresocioeconomic

Record type:

dataset
Creator:
BasDarKorMcl
Editor:
Bas
Publisher:
Bor
Host:avatar
SEEDNet (Settlement-level Epidemiological Estimates Datasets for Network Analysis) is an open-source data library of settlement-level multi-country representations of human populations, their health, demographics and environmental features intended to be used for network-science research and traditional epidemiological research. This is the most up-to-date version of the library and will be updated and improved as new data becomes available. INTERACTIVE CATALOG & MAP VISUALIZER: Download the borealis_landing.html file from the files section below and open it in any web browser to explore settlement estimate distributions, search indicators, and download datasets. Dataset URL: doi.org Other countries and indicators will be added as new surveys become available. Currently, the 167 surveys covering 59 countries included in this library are: List of countries: Albania, Angola, Armenia, Bangladesh, Benin, Bolivia, Burkina Faso, Burundi, Cambodia, Cameroon, Chad, Colombia, Comoros, Congo Democratic Republic, Cote d'Ivoire, Dominican Republic, Egypt, Eswatini, Ethiopia, Gabon, Gambia, Ghana, Guatemala, Guinea, Guyana, Haiti, Honduras, IDN, IND, Jordan, Kenya, Lesotho, Liberia, Madagascar, Malawi, Mali, Mauritania, Moldova, Morocco, Mozambique, Myanmar, Namibia, Nepal, Niger, Nigeria, Pakistan, Peru, Philippines, Rwanda, Senegal, Sierra Leone, South Africa, Tajikistan, Tanzania, Timor-Leste, Togo, Uganda, Zambia, Zimbabwe List of surveys: Albania-2008, Albania-2017, Angola-2015, Angola-2023, Armenia-2010, Armenia-2016, Bangladesh-2004, Bangladesh-2007, Bangladesh-2011, Bangladesh-2014, Bangladesh-2017, Bangladesh-2022, Benin-2001, Benin-2012, Benin-2017, Bolivia-2008, Burkina Faso-2003, Burkina Faso-2010, Burkina Faso-2021, Burundi-2010, Burundi-2016, Cambodia-2000, Cambodia-2005, Cambodia-2010, Cambodia-2014, Cambodia-2021, Cameroon-2004, Cameroon-2011, Cameroon-2018, Chad-2014, Colombia-2010, Comoros-2012, Congo Democratic Republic-2007, Congo Democratic Republic-2013, Congo Democratic Republic-2023, Cote d'Ivoire-2012, Cote d'Ivoire-2021, Dominican Republic-2007, Dominican Republic-2013, Egypt-2000, Egypt-2003, Egypt-2005, Egypt-2008, Egypt-2014, Eswatini-2006, Ethiopia-2000, Ethiopia-2005, Ethiopia-2011, Ethiopia-2016, Ethiopia-2019, Gabon-2012, Gabon-2019, Gambia-2019, Ghana-2003, Ghana-2008, Ghana-2014, Ghana-2022, Guatemala-2015, Guinea-2005, Guinea-2012, Guinea-2018, Guyana-2009, Haiti-2000, Haiti-2006, Haiti-2012, Haiti-2016, Honduras-2011, IDN-2003, IND-2015, IND-2020, Jordan-2002, Jordan-2007, Jordan-2012, Jordan-2017, Jordan-2023, Kenya-2003, Kenya-2008, Kenya-2014, Kenya-2022, Lesotho-2004, Lesotho-2009, Lesotho-2014, Lesotho-2023, Liberia-2007, Liberia-2013, Liberia-2019, Madagascar-2008, Madagascar-2021, Malawi-2000, Malawi-2004, Malawi-2010, Malawi-2015, Malawi-2024, Mali-2001, Mali-2006, Mali-2012, Mali-2018, Mali-2023, Mauritania-2020, Moldova-2005, Morocco-2003, Mozambique-2011, Mozambique-2022, Myanmar-2016, Namibia-2000, Namibia-2006, Namibia-2013, Nepal-2001, Nepal-2006, Nepal-2011, Nepal-2016, Nepal-2022, Niger-2012, Nigeria-2003, Nigeria-2008, Nigeria-2013, Nigeria-2018, Nigeria-2024, Pakistan-2006, Pakistan-2017, Peru-2000, Peru-2004, Peru-2007, Peru-2009, Philippines-2003, Philippines-2008, Philippines-2017, Philippines-2022, Rwanda-2005, Rwanda-2008, Rwanda-2010, Rwanda-2015, Rwanda-2019, Senegal-2005, Senegal-2010, Senegal-2012, Senegal-2014, Senegal-2015, Senegal-2016, Senegal-2017, Senegal-2018, Senegal-2019, Senegal-2023, Sierra Leone-2008, Sierra Leone-2013, Sierra Leone-2019, South Africa-2016, Tajikistan-2012, Tajikistan-2017, Tajikistan-2023, Tanzania-2010, Tanzania-2015, Tanzania-2022, Timor-Leste-2009, Timor-Leste-2016, Togo-2013, Uganda-2000, Uganda-2006, Uganda-2011, Uganda-2016, Zambia-2007, Zambia-2013, Zambia-2018, Zambia-2024, Zimbabwe-2005, Zimbabwe-2010, Zimbabwe-2015. It includes the following indicators: COUNTRY: Country name YEAR: Year SETT_CODE: Settlement identifier SETT_POP: Settlement population SETT_FRAC: Settlement population as a fraction of the country population SETT_DHS: Settlement includes DHS cluster (yes/no) N10-N30: Number of pixels classified as 10-30 in GHSL SMOD a_heap_age: Age heaping adults adol_1st_preg: Adolescent 1st Pregnancy (Mothers 15-49) adol_1st_preg_all: Adolescent 1st Pregnancy (All Women 15-49) age_0: Percentage of population age 0 age_0_4: Population age 0-4 age_0_4_female: Population age 0-4 (F) age_0_4_male: Population age 0-4 (M) age_0_female: Percentage of population age 0 (Females) age_0_male: Percentage of population age 0 (Males) age_1_4: Percentage of population age 1-4 age_1_4_female: Percentage of population age 1-4 (Females) age_1_4_male: Percentage of population age 1-4 (Males) age_10_14: Percentage of population age 10-14 age_10_14_female: Percentage of population age 10-14 (Females) age_10_14_male: Percentage of population age 10-14 (Males) age_15_19: Percentage of population age 15-19 age_15_19_female: Percentage of population age 15-19 (Females) age_15_19_male: Percentage of population age 15-19 (Males) age_20_24: Percentage of population age 20-24 age_20_24_female: Percentage of population age 20-24 (Females) age_20_24_male: Percentage of population age 20-24 (Males) age_25_29: Percentage of population age 25-29 age_25_29_female: Percentage of population age 25-29 (Females) age_25_29_male: Percentage of population age 25-29 (Males) age_30_34: Percentage of population age 30-34 age_30_34_female: Percentage of population age 30-34 (Females) age_30_34_male: Percentage of population age 30-34 (Males) age_35_39: Percentage of population age 35-39 age_35_39_female: Percentage of population age 35-39 (Females) age_35_39_male: Percentage of population age 35-39 (Males) age_40_44: Percentage of population age 40-44 age_40_44_female: Percentage of population age 40-44 (Females) age_40_44_male: Percentage of population age 40-44 (Males) age_45_49: Percentage of population age 45-49 age_45_49_female: Percentage of population age 45-49 (Females) age_45_49_male: Percentage of population age 45-49 (Males) age_5_9: Percentage of population age 5-9 age_5_9_female: Percentage of population age 5-9 (Females) age_5_9_male: Percentage of population age 5-9 (Males) age_50_54: Percentage of population age 50-54 age_50_54_female: Percentage of population age 50-54 (Females) age_50_54_male: Percentage of population age 50-54 (Males) age_55_59: Percentage of population age 55-59 age_55_59_female: Percentage of population age 55-59 (Females) age_55_59_male: Percentage of population age 55-59 (Males) age_60_64: Percentage of population age 60-64 age_60_64_female: Percentage of population age 60-64 (Females) age_60_64_male: Percentage of population age 60-64 (Males) age_65_69: Percentage of population age 65-69 age_65_69_female: Percentage of population age 65-69 (Females) age_65_69_male: Percentage of population age 65-69 (Males) age_70_74: Percentage of population age 70-74 age_70_74_female: Percentage of population age 70-74 (Females) age_70_74_male: Percentage of population age 70-74 (Males) age_75_79: Percentage of population age 75-79 age_75_79_female: Percentage of population age 75-79 (Females) age_75_79_male: Percentage of population age 75-79 (Males) age_80_84: Percentage of population age 80-84 age_80_84_female: Percentage of population age 80-84 (Females) age_80_84_male: Percentage of population age 80-84 (Males) age_80plus: Population age 80+ age_80plus_female: Population age 80+ (F) age_80plus_male: Population age 80+ (M) age_85plus: Percentage of population age 85+ age_85plus_female: Percentage of population age 85+ (Females) age_85plus_male: Percentage of population age 85+ (Males) age_days: Child age in days anc_4vs_15_19: Adolescent ANC 4+ anc_4vs_15_19_y1: Adolescent ANC 4+ Y1 anc_4vs_15_19_y2: Adolescent ANC 4+ Y2 anc_4vs_15_19_y3: Adolescent ANC 4+ Y3 anc_4vs_15_19_y4: Adolescent ANC 4+ Y4 anc_4vs_15_19_y5: Adolescent ANC 4+ Y5 anc_pvskill: ANC by skilled provider anc42: ANC 4+ visits anemia_children: Children with any anemia anemia_women: Women with any anemia anemia_women_pr: Women any anemia (PR recode) bmj_age: Maternal Age (BMJ Covar) bmj_educ: Education Level (BMJ Covar) bmj_num_deliveries: Total Number of Deliveries bmj_num_pregnancies: Estimated Number of Pregnancies bmj_time_since_1st_birth: Time Since First Birth (Years) bmj_urban: Urban Residence (BMJ Covar) bmj_wealth: Wealth Factor Score (BMJ Covar) cfeed: Age-appropriate breastfeeding 0-23m ch_allvac: Full immunization ch_allvac_card: Full immunization card-only ch_allvac_report: Full immunization mother's report ch_ari: ARI symptoms in last 2 weeks ch_ari_antib: ARI: Antibiotic treatment ch_ari_care: ARI: Advice or treatment sought ch_ari_care_day: ARI: Sought care same/next day ch_ari_care_iceh: ARI: Strict ICEH Medical-only Exclusion ch_ari_govcent: ARI: Government health center ch_ari_govh: ARI: Government hospital ch_ari_pclinc: ARI: Private clinic ch_ari_pdoc: ARI: Private doctor ch_ari_pharm: ARI: Pharmacy ch_bcg_card: BCG card-only ch_bcg_either: BCG vaccination ch_bcg_iceh: CCI Baseline ch_bcg_report: BCG mother's report ch_compl_age: Children complete dob ch_diar: Diarrhea in last 2 weeks ch_diar_abi: Antibiotics ch_diar_adv: Advice/treatment sought ch_diar_amo: Antimotility ch_diar_bld: Diarrhea with blood ch_diar_hom: Home remedy/other ch_diar_ivs: IV solution ch_diar_not: No treatment ch_diar_orc: Continued feeding + ORT ch_diar_ori: ORT or increased fluids ch_diar_ort: ORS or RHF ch_diar_osi: ORS or increased fluids ch_diar_rhf: RHF ch_diar_znc: Zinc ch_diar_zno: ORS and Zinc ch_dpt1: DPT1 vaccination ch_dpt1_card: DPT1 card-only ch_dpt1_report: DPT1 mother's report ch_dpt2: DPT2 vaccination ch_dpt2_card: DPT2 card-only ch_dpt2_report: DPT2 mother's report ch_dpt3: DPT3 vaccination ch_dpt3_card: DPT3 card-only ch_dpt3_iceh: CCI Baseline ch_dpt3_report: DPT3 mother's report ch_fev_antib: Fever: Antibiotic treatment ch_fev_care: Fever: Advice or treatment sought ch_fev_care_day: Fever: Sought care same/next day ch_fever: Fever in last 2 weeks ch_flag_haz: HAZ flagged children ch_ipv1_card: IPV1 card-only ch_ipv1_either: IPV1 vaccination ch_ipv1_report: IPV1 mother's report ch_ipv2_card: IPV2 card-only ch_ipv2_either: IPV2 vaccination ch_ipv2_report: IPV2 mother's report ch_ipv3_card: IPV3 card-only ch_ipv3_either: IPV3 vaccination ch_ipv3_report: IPV3 mother's report ch_meas_card: Measles card-only ch_meas_either: Measles vaccination 12-23m ch_meas_either_u5: Measles U5 (validated by vaccine + age group) ch_meas_iceh: CCI Baseline ch_meas_report: Measles mother's report ch_novac: No vaccinations ch_novac_card: No vaccinations card-only ch_novac_report: No vaccinations mother's report ch_pcv1_card: PCV1 card-only ch_pcv1_either: PCV1 vaccination ch_pcv1_report: PCV1 mother's report ch_pcv2_card: PCV2 card-only ch_pcv2_either: PCV2 vaccination ch_pcv2_report: PCV2 mother's report ch_pcv3_card: PCV3 card-only ch_pcv3_either: PCV3 vaccination ch_pcv3_report: PCV3 mother's report ch_pent1_card: Penta1 card-only ch_pent1_either: Penta1 vaccination ch_pent1_report: Penta1 mother's report ch_pent2_card: Penta2 card-only ch_pent2_either: Penta2 vaccination ch_pent2_report: Penta2 mother's report ch_pent3_card: Penta3 card-only ch_pent3_either: Penta3 vaccination ch_pent3_iceh: CCI Baseline ch_pent3_report: Penta3 mother's report ch_polio1_card: Polio1 card-only ch_polio1_either: Polio1 vaccination ch_polio1_report: Polio1 mother's report ch_polio2_card: Polio2 card-only ch_polio2_either: Polio2 vaccination ch_polio2_report: Polio2 mother's report ch_polio3_card: Polio3 card-only ch_polio3_either: Polio3 vaccination ch_polio3_report: Polio3 mother's report ch_rotav1_card: Rotavirus1 card-only ch_rotav1_either: Rotavirus1 vaccination ch_rotav1_iceh: Rotavirus 1 vaccination (First year) ch_rotav1_report: Rotavirus1 mother's report ch_rotav2_card: Rotavirus2 card-only ch_rotav2_either: Rotavirus2 vaccination ch_rotav2_iceh: Rotavirus 2 vaccination (First year) ch_rotav2_report: Rotavirus2 mother's report ch_rotav3_card: Rotavirus3 card-only ch_rotav3_either: Rotavirus3 vaccination ch_rotav3_iceh: Rotavirus 3 vaccination (First year) ch_rotav3_report: Rotavirus3 mother's report ch_yelfev_card: YelFev card-only ch_yelfev_either: Yellow Fever vaccination (placeholder — no API data yet) ch_yelfev_report: YelFev mother's report cm_child_death: Child death (12-59 months) cm_cmr: CMR: prob. of dying between 1st and 5th birthday (per 1000 children surviving to 12 months) cm_cmr_10yr: CMR 10-year log-rank proxy (cluster/region) cm_cmr_5yr: CMR 5-year log-rank proxy (cluster/region) cm_cmr_female_5yr: CMR 5-year (female children) cm_cmr_male_5yr: CMR 5-year (male children) cm_enn_death: Early neonatal death (0-6 days) cm_enn_death_5yr: Early neonatal death (strictly 0-59 months) cm_imr: IMR: prob. of dying within first year (per 1000 live births) cm_imr_10yr: IMR 10-year log-rank proxy (cluster/region) cm_imr_5yr: IMR 5-year log-rank proxy (cluster/region) cm_imr_female_5yr: IMR 5-year (female children) cm_imr_male_5yr: IMR 5-year (male children) cm_inf_death: Infant death (0-11 months) cm_neo_death: Neonatal death (0-27 days) cm_nnmr: NNMR: prob. of dying within first month (per 1000 live births) cm_nnmr_10yr: NNMR 10-year log-rank proxy (cluster/region) cm_nnmr_5yr: NNMR 5-year log-rank proxy (cluster/region) cm_nnmr_female_5yr: NNMR 5-year (female children) cm_nnmr_male_5yr: NNMR 5-year (male children) cm_perinatal: Perinatal mortality rate (stillbirths + early neonatal deaths) cm_pnn_death: Post-neonatal death (1-11 months) cm_pnnmr: PNNMR: IMR − NNMR (per 1000 live births) cm_pnnmr_10yr: PNNMR 10-year log-rank proxy (cluster/region) cm_pnnmr_5yr: PNNMR 5-year log-rank proxy (cluster/region) cm_pnnmr_female_5yr: PNNMR 5-year (female children) cm_pnnmr_male_5yr: PNNMR 5-year (male children) cm_sae_deaths_female: SAE female underlying deaths cm_sae_deaths_male: SAE male underlying deaths cm_sae_exposure_female: SAE female underlying exposure cm_sae_exposure_male: SAE male underlying exposure cm_stillbirth: Stillbirth rate (pregnancies 7+ months, born dead) cm_stillbirth_gr: Stillbirth rate from GR file (DHS-8 pregnancy history) cm_stillbirth_ir: Stillbirth rate from IR file (legacy calendar) cm_u5_death: Under-5 death (0-59 months) cm_u5mr: U5MR: prob. of dying before 5th birthday (per 1000 live births) cm_u5mr_10yr: U5MR 10-year log-rank proxy (cluster/region) cm_u5mr_5yr: U5MR 5-year log-rank proxy (cluster/region) cm_u5mr_female_5yr: SAE Bayesian smoothed female 5-year U5MR cm_u5mr_male_5yr: SAE Bayesian smoothed male 5-year U5MR co_owph_mob: Women who own a mobile phone demand_limit: Demand limiting (all women) demand_limit_m: Demand limiting (married) demand_limit_u: Demand limiting (unmarried) demand_space: Demand spacing (all women) demand_space_m: Demand spacing (married) demand_space_u: Demand spacing (unmarried) demand_tot: Demand total (all women) demand_tot_m: Demand total (married) demand_tot_u: Demand total (unmarried) demsat_any: Demand satisfied (all women) demsat_any_m: Demand satisfied (married) demsat_any_u: Demand satisfied (unmarried) demsat_mod: Demand satisfied modern (all women) demsat_mod_adol: Adolescent demand satisfied modern demsat_mod_m: Demand satisfied modern (married) demsat_mod_u: Demand satisfied modern (unmarried) dis_any: Disability: Any Domain dis_cognition: Disability: Cognition dis_communicating: Disability: Communicating dis_hearing: Disability: Hearing dis_mobility: Disability: Mobility dis_seeing: Disability: Seeing dis_selfcare: Disability: Self-Care dq_contraceptive: Current use of any contraception eibf_1hr: Early initiation of breastfeeding exclusivelybf: Exclusively breastfed < 6 months female: Percentage of population - Females femp_health: Health decision: wife or joint femp_health1: Health decision: mainly wife femp_hh: HH purchase decision: wife or joint femp_hh1: HH purchase decision: mainly wife haz: Mean HAZ haz_dhs: Mean HAZ (DHS original) haz_diff: HAZ difference (WHO - DHS) haz_discrepancy: HAZ discrepancy flag haz_rec: Mean HAZ (WHO recalculated) iodized_salt: Households with iodized salt ir_dis_any: Disability: Any Domain (Self-Reported) ir_dis_cognition: Disability: Cognition (Self-Reported) ir_dis_communicating: Disability: Communicating (Self-Reported) ir_dis_hearing: Disability: Hearing (Self-Reported) ir_dis_mobility: Disability: Mobility (Self-Reported) ir_dis_seeing: Disability: Seeing (Self-Reported) ir_dis_selfcare: Disability: Self-Care (Self-Reported) itn_u5: Children under 5 who slept under an ITN lbw: Birth weight < 2.5 kg length_height: Length-Height flag length_height_corr: Length-Height correction lowest_wealth_quintile: Lowest wealth quintile lowest_wealth_quintile2: 2 lowest quintiles male: Percentage of population - Males mb_dis_any: Disability: Any Domain (Mothers) mb_dis_mobility: Disability: Mobility (Mothers) measured_female: Pct females measured met_limit: Met need limiting (all women) met_limit_m: Met need limiting (married) met_limit_u: Met need limiting (unmarried) met_space: Met need spacing (all women) met_space_m: Met need spacing (married) met_space_u: Met need spacing (unmarried) met_tot: Met need total (all women) met_tot_m: Met need total (married) met_tot_u: Met need total (unmarried) mild_anemia_children: Children with mild anemia mild_anemia_women: Women with mild anemia mild_anemia_women_pr: Women mild anemia (PR) mmr_7yr: Maternal mortality ratio (7-year log-rank proxy) mmr_sae_deaths_7yr: SAE maternal deaths (7-year proxy) mmr_sae_exposure_7yr: SAE maternal exposure (7-year proxy) moderate_anemia_children: Children with moderate anemia moderate_anemia_women: Women with moderate anemia moderate_anemia_women_pr: Women moderate anemia (PR) ORS_treatment: ORS treatment ow_wap: Children overweight for age ow_whp: Children overweight (height) ph_electric: Households with electricity pnc_mother: PNC mother within 2 days pnc_newborn: PNC newborn within 2 days rh_anc_1vs: ANC: 1 visit rh_anc_23vs: ANC: 2-3 visits rh_anc_8vs: ANC 8+ visits rh_anc_none: ANC: None rh_del_ces: Delivered by C-section rh_del_place_d: Delivered in health facility rh_del_pvskill_d: Delivered by skilled provider rh_tt_1: Tetanus injections: 1 dose rh_tt_2plus: Tetanus injections: 2+ doses rh_tt_none: Tetanus injections: None sev_stunted: Children severely stunted sev_underweight: Children severely underweight sev_wasted: Children severely wasted severe_anemia_children: Children with severe anemia severe_anemia_women: Women with severe anemia severe_anemia_women_pr: Women severe anemia (PR) sourcewater: Households using improved water source stunted: Children stunted unmet_limit: Unmet need limiting (all women) unmet_limit_m: Unmet need limiting (married) unmet_limit_u: Unmet need limiting (unmarried) unmet_space: Unmet need spacing (all women) unmet_space_m: Unmet need spacing (married) unmet_space_u: Unmet need spacing (unmarried) unmet_tot: Unmet need total (all women) unmet_tot_m: Unmet need total (married) unmet_tot_u: Unmet need total (unmarried) unvac_dpt1: Zero Dose (DPT1 complement) uw_wa2: Children underweight w_compl_age: Women complete dob w_heap_age: Age heaping women wasted: Children wasted waz: Mean WAZ waz_dhs: Mean WAZ (DHS original) waz_diff: WAZ difference (WHO - DHS) waz_discrepancy: WAZ discrepancy flag waz_rec: Mean WAZ (WHO recalculated) wealth_index_mean: Mean wealth index whz: Mean WHZ whz_dhs: Mean WHZ (DHS original) whz_diff: WHZ difference (WHO - DHS) whz_discrepancy: WHZ discrepancy flag whz_rec: Mean WHZ (WHO recalculated)

Visit

doi.orgborealisdata.ca

Tags

Medicine, Health and Life SciencesComputer and Information SciencePhysicsSocial Sciences

Licenses

info:eu-repo/semantics/openAccessCreative Commons Attribution 4.0 Internationalhttps://creativecommons.org/licenses/by/4.0/legalcode