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)