Latest available · compiled 2019
Catastrophic Out-of-Pocket Health Spending, 2019 compilation
Each country’s newest reading as of 2019; every row carries its own year · stored as published, never rewritten
Catastrophic Out-of-Pocket Health Spending, 2019 compilation covers 139 countries. Georgia is highest, at 31.208; Somalia is lowest, at 0.133. The middle country reads 6.516. 22 readings are more than ten years older than the file and are listed but not compared.
Catastrophic Out-of-Pocket Health Spending · Latest available · compiled 2019
HighestGeorgia
31.208LowestSomalia
0.133Shaded by value in five groups of equal size, darkest at the highest end. Neither end is better. The values describe a shape, not a score.
01Values only
The table
Every country and every column of Catastrophic Out-of-Pocket Health Spending, 2019 compilation, as published. The file carries values only, so no position is shown. “=” marks a shared position.
Showing 25 of 139 countries · select a heading to sort
| 2017 | 31.208 | GEO_2017_HIS_v02_M_v01_A_ECAPOV | |
| 2017 | 31.144 | EGY_2017_HIECS_v01_M_v01_A_MNAPOV | |
| 2016 | 26.931 | AFG_2016_LCS_v01_M | |
| 2016 | 25.626 | BGD_2016_HIES_v01_M | |
| 2014 | 24.732 | NIC_2014_EMNV_v01_M | |
| 2016 | 23.980 | CHN_2016_CFPS_v01_M | |
| 2017 | 20.976 | ARM_2017_ILCS_v01_M_v01_A_ECAPOV | |
| 2013 | 20.042 | MAR_2013_ENCDM_v01_M_v03_A_MNAPOV | |
| 2008 | 20.012 | COL_2008_ECV_v02_M_v01_A_SHES | |
| 2016 | 18.849 | CHL_2016_EPF_v01_M | |
| 2016 | 18.684 | MDA_2016_HBS_v01_M_v01_A_ECAPOV | |
| 2011 | 18.378 | PRT_2011_HBS_v01_M_v01_A_EUROSTAT | |
| 2009 | 18.357 | SDN_2009_NBHS_v01_M | |
| 2011 | 17.912 | IND_2011_NSS68-SCH1.0-T1_v01_M_v02_A_SARMD | |
| 2007 | 17.703 | DOM_2007_ENIGH_v01_M_v01_A_LIS | |
| 2011 | 17.556 | TGO_2011_QUIBB_v01_M_v01_A_SSAPOV | |
| 2016 | 17.555 | IRN_2016_HEIS_v02_M_v02_A_MNAPOV | |
| 2004 | 16.903 | ARG_2004_ENGH_v01_M | |
| 2012 | 16.725 | ALB_2012_LSMS_v01_M_v03_A_ECAPOV | |
| 2016 | 16.507 | BRB_2016_LCS_v01_M | |
| 2010 | 16.327 | LVA_2010_HBS_v01_M_v01_A_EUROSTAT | |
| 2009 | 16.068 | CYP_2009_HBS_v01_M_v01_A_EUROSTAT | |
| 2018 | 15.909 | SLE_2018_SLIHS_v01_M | |
| 2014 | 15.825 | YEM_2014_HBS_v01_M_v01_A_MNAPOV | |
| 2016 | 15.271 | UGA_2016_UNHS_v01_M | |
| 2008 | 15.190 | CIV_2008_ENV_v01_M_v01_A_SHIP | |
| 2010 | 14.637 | GRC_2010_HBS_v01_M_v01_A_EUROSTAT | |
| 2016 | 14.113 | POL_2016_HBS_v01_M_v01_A_ECAPOV | |
| 2015 | 13.823 | MMR_2015_MPLCS_v01_M | |
| 2016 | 13.422 | ROU_2016_HBS_v01_M_v02_A_ECAPOV | |
| 2008 | 12.850 | LTU_2008_HBS_v01_M_v01_A_ECAPOV | |
| 2010 | 12.841 | BGR_2010_HBS_v01_M_v01_A_EUROSTAT | |
| 2008 | 12.260 | AGO_2008_IBEP_MICS_v01_M_v01_A_SHIP | |
| 2017 | 11.821 | ZWE_2017_PICES_v01_M | |
| 2017 | 11.812 | BRA_2017_POF_v01_M | |
| 2014 | 11.657 | MRT_2014_EPCV_v01_M | |
| 2013 | 11.543 | HTI_2013_ECVMAS_v01_M | |
| 2009 | 11.447 | BEL_2009_HBS_v01_M_v01_A_EUROSTAT | |
| 2000 | 11.064 | BOL_2000_ECH_v01_M | |
| 2015 | 10.965 | BEN_2015_EMICOV_v01_M_v01_A_SSAPOV | |
| 2012 | 10.647 | ISR_2012_HES_v01_M_v01_A_LIS | |
| 2013 | 10.309 | ECU_2013_CV_v01_M | |
| 2015 | 10.268 | MNE_2015_HBS_v01_M_v03_A_ECAPOV | |
| 2018 | 10.251 | TJK_2018_HBS_v01_M | |
| 2004 | 10.197 | JAM_2004_SLC_v01_M | |
| 2018 | 10.032 | VNM_2018_VHLSS_v01_M | |
| 2016 | 9.815 | MDV_2016_HIES_v01_M | |
| 2008 | 9.638 | MEX_2008_ENIGH_v01_M_v01_A_LIS | |
| 2011 | 9.364 | GTM_2011_ENCOVI_v01_M | |
| 2010 | 9.291 | ITA_2010_HBS_v01_M_v01_A_EUROSTAT | |
| 2009 | 9.207 | SSD_2009_NBHS_v01_M_v01_A_SSAPOV | |
| 2016 | 9.162 | BLR_2016_HHS_v01_M_v01_A_ECAPOV | |
| 2014 | 8.814 | COM_2014_HBS_v01_M | |
| 2010 | 8.790 | EST_2010_HBS_v01_M_v01_A_EUROSTAT | |
| 2011 | 8.687 | TCD_2011_ECOSIT-III_v01_M_v04_A_SSAPOV | |
| 2016 | 8.454 | NPL_2016_AHS_v01_M | |
| 2019 | 8.319 | UKR_2019_HLCS_v01_M | |
| 2015 | 8.286 | PER_2015_ENAHO_v01_M | |
| 2015 | 8.177 | BIH_2015_HBS_v01_M_v01_A_ECAPOV | |
| 2005 | 8.122 | AZE_2005_HBS_v01_M_v01_A_ECAPOV | |
| 2015 | 8.047 | SRB_2015_HBS_v01_M_v02_A_ECAPOV | |
| 2006 | 7.844 | MKD_2006_HBS_v01_M_v02_A_ECAPOV | |
| 2016 | 7.565 | PSE_2016_PECS_v01_M_v01_A_MNAPOV | |
| 2018 | 7.406 | CRI_2018_ENIG_v01_M | |
| 2010 | 7.378 | HUN_2010_HBS_v01_M_v01_A_EUROSTAT | |
| 2014 | 7.101 | PRY_2014_EPH_v01_M | |
| 2007 | 7.083 | CMR_2007_ECAM_III_v01_M_v01_A_SHIP | |
| 2012 | 6.969 | GIN_2012_ELEP_v01_M_v01_A_SHIP | |
| 2016 | 6.956 | KSV_2016_HBS_v01_M_v02_A_ECAPOV | |
| 2007 | 6.880 | SYR_2007_HIES_v01_M | |
| 2016 | 6.749 | LBR_2016_HIES_v01_M_v06_A_SSAPOV | |
| 2008 | 6.748 | CAF_2008_ECASEB_v01_M_v01_A_SSAPOV | |
| 2003 | 6.662 | UZB_2003_HBS_v01_M_v01_A_ECAPOV | |
| 2018 | 6.516 | NER_2018_ECVMA_v01_M | |
| 2012 | 6.349 | FIN_2012_HBS_v01_M_v01_A_EUROSTAT | |
| 2015 | 6.310 | PHL_2015_FIES_v01_M | |
| 2010 | 6.258 | GNB_2010_ILAP_II_v01_M | |
| 2018 | 5.992 | MNG_2018_HSES_v01_M | |
| 2010 | 5.733 | ESP_2010_HBS_v01_M_v01_A_EUROSTAT | |
| 2009 | 5.593 | IRL_2009_HBS_v01_M | |
| 2012 | 5.591 | MUS_2012_HBS_v01_M_v01_A_SSAPOV | |
| 2015 | 5.428 | KEN_2015_KIHBS_v01_M_v01_A_SSAPOV | |
| 2016 | 5.412 | LKA_2016_HIES_v01_M_v01_A_SARMD | |
| 2016 | 4.995 | SWZ_2016_HIES_v01_M_v01_A_SSAPOV | |
| 2014 | 4.871 | RUS_2014_HBS_v01_M_v01_A_ECAPOV | |
| 2017 | 4.828 | STP_2017_IOF_v01_M | |
| 2012 | 4.820 | COD_2012_E123_v01_M | |
| 2016 | 4.639 | SUR_2016_SLC_v01_M | |
| 2011 | 4.581 | COG_2011_ECOM_v01_M | |
| 2017 | 4.518 | IDN_2017_SUSENAS_v01_M | |
| 2010 | 4.513 | LSO_2010_CMSHBS_v01_M_v01_A_SSAPOV | |
| 2015 | 4.469 | PAK_2015_PSLM_v01_M_v01_A_SARMD | |
| 2016 | 4.467 | USA_2016_CES_v01_M_v01_A_PUMD | |
| 2015 | 4.363 | JPN_2015_KHPS_v01_M | |
| 2016 | 4.208 | MWI_2016_IHS_IV_v01_M_v01_A_SSAPOV | |
| 2017 | 3.985 | BTN_2017_BLSS_v01_M | |
| 2014 | 3.876 | TTO_2014_SLC_v01_M | |
| 2017 | 3.834 | GAB_2017_EGEP_v01_M_v04_A_SSAPOV | |
| 2010 | 3.714 | SVK_2010_HBS_v01_M_v01_A_EUROSTAT | |
| 2012 | 3.703 | IRQ_2012_IHSES_v01_M_v01_A_MNAPOV | |
| 2015 | 3.551 | NGA_2015_GHSP_W3_v01_M | |
| 2016 | 3.474 | KGZ_2016_KIHS_v01_M_v01_A_ECAPOV | |
| 2010 | 3.391 | THA_2010_SES_v01_M | |
| 2010 | 3.384 | LUX_2010_HBS_v01_M_v01_A_EUROSTAT | |
| 2011 | 3.327 | SEN_2011_ESPS_II_v01_M | |
| 2015 | 3.314 | SVN_2015_HBS_v01_M_v01_A_LIS | |
| 2013 | 3.288 | BDI_2013_ECVMB_v01_M_v01_A_SSAPOV | |
| 2016 | 3.186 | TUR_2016_HICES_v01_M_v01_A_ECAPOV | |
| 2014 | 3.130 | BFA_2014_EMC_v01_M | |
| 2008 | 3.087 | PAN_2008_ENV_v01_M | |
| 2007 | 2.982 | LAO_2007_LECS_v01_M_v01_A_SHES | |
| 2010 | 2.930 | DNK_2010_HBS_v01_M_v01_A_EUROSTAT | |
| 2012 | 2.870 | MDG_2012_ENSOMD_v01_M_v02_A_SSAPOV | |
| 2010 | 2.799 | HRV_2010_HBS_v01_M_v01_A_ECAPOV | |
| 2010 | 2.759 | AUS_2010_HES_SIH_v01_M_v01_A_LIS | |
| 1993 | 2.736 | GUY_1993_LSMS_v01_M | |
| 2013 | 2.559 | SYC_2013_HBS_v01_M_v01_A_SSAPOV | |
| 2015 | 2.539 | KAZ_2015_HBS_v01_M_v02_A_ECAPOV | |
| 2016 | 2.343 | URY_2016_ENGIH_v01_M | |
| 2018 | 2.274 | GBR_2018_LCFS_v01_M | |
| 2010 | 2.219 | CZE_2010_HBS_v01_M_v01_A_EUROSTAT | |
| 2015 | 2.117 | ETH_2015_HICES_v01_M_v03_A_SSAPOV | |
| 2018 | 2.061 | MLI_2018_EMOP_v01_M | |
| 2007 | 2.047 | CPV_2007_QUIBB_v01_M_v01_A_SHES | |
| 2008 | 1.720 | JOR_2008_HEIS_v01_M_v01_A_MNAPOV | |
| 2014 | 1.692 | SLV_2014_EHPM_v01_M | |
| 2014 | 1.615 | MOZ_2014_IOF_v01_M_v02_A_SSAPOV | |
| 2010 | 1.528 | DEU_2010_SOEP_v01_M | |
| 2015 | 1.519 | NAM_2015_NHIES_v01_M_v05_A_SSAPOV | |
| 2017 | 1.465 | DJI_2017_EDAM_v01_M_v01_A_MNAPOV | |
| 2016 | 1.151 | RWA_2016_EICV_V_v01_M_v02_A_SSAPOV | |
| 2004 | 1.139 | HND_2004_ENCOVI_v01_M | |
| 2009 | 1.003 | BWA_2009_CWIS_v01_M | |
| 2010 | 0.751 | ZAF_2010_IES_v01_M_v01_A_SHES | |
| 2007 | 0.442 | TLS_2007_LSMS_v01_M | |
| 2016 | 0.435 | GHA_2016_GLSS_v01_M | |
| 2010 | 0.288 | ZMB_2010_LCMS_VI_v01_M_v01_A_SHIP | |
| 2015 | 0.198 | GMB_2015_IHS_v01_M_v01_A_SSAPOV | |
| 2017 | 0.133 | SOM_2017_HFS_v01_M_v01_A_SSAPOV |
02In Catastrophic Out-of-Pocket Health Spending, 2019 compilation
At either end
The 5 countries at each end of the headline. Readings too old to compare take no part.
Highest
Georgia31.208
Egypt31.144
Afghanistan26.931
Bangladesh25.626
Nicaragua24.732
Lowest
Somalia0.133
Gambia0.198
Zambia0.288
Ghana0.435
South Africa0.751
Neither end is better. The values describe a shape, not a score. The middle country reads 6.516. “Shared” marks a value another country also holds.
03Caveats
Read before you use
What this edition’s numbers are and are not, worked out from the file itself.
Readings from many years
Each country’s newest reading as of 2019, from 1993 to 2019. 22 are more than ten years older than the file: listed and marked, but left out of the ends and the changes.
Which end is better
Neither end is better. The values describe a shape, not a score.
Nothing missing
Every one of the 139 countries has every column.
04The files
Download and cite
The table as a file, digit for digit, what this site changed, and a citation for this edition.
- .csv
For a spreadsheet or code
139 rows · 10 KB · UTF-8, opens in Excel
Opens with 11 lines of source notes; the table starts on row 13.
Download catastrophic-health-spending-2019-nations-inquiry.csv - ↗
The publisher’s original
World Bank Group’s own file, on its own site.
HEFPI Summer 2022 25 Aug 2022.zip
What this site changed: Reshaped into one row per country: regional and income-group totals are left out, only the columns listed are kept, each row gets its ISO 3166 code, and some country names are brought to one spelling. No value is recalculated, rescaled or rounded.
Licence: CC BY 4.0. Share, adapt and use commercially. Credit the publisher and say if you changed anything.
Cite this edition
World Bank Group (2019). Catastrophic Out-of-Pocket Health Spending, 2019 compilation [data set]. As held by Nations Inquiry, https://nationsinquiry.com/datasets/catastrophic-health-spending/2019
051 held
Other editions
‹ The edition before
This is the first edition held here.
The edition after ›
This is the newest edition. A newer one will get its own page at its own address; this one is never rewritten.
All of them
Catastrophic Out-of-Pocket Health Spending: every edition1 held, with the data dictionary, coverage and licence.
How it has moved, charted by country
06Questions
Catastrophic Out-of-Pocket Health Spending, 2019 compilation: questions and answers
Which country has the highest catastrophic health spending in Catastrophic Out-of-Pocket Health Spending, 2019 compilation?
Georgia, at 31.208, of the 139 countries in the file.
How many countries does Catastrophic Out-of-Pocket Health Spending, 2019 compilation cover?
139.
Where can I download Catastrophic Out-of-Pocket Health Spending, 2019 compilation?
On this page, as a CSV file holding every value exactly as published, or from the publisher’s own site, linked below.
Is Catastrophic Out-of-Pocket Health Spending, 2019 compilation the newest?
Yes, as of 2026-10-03, when it was read from the publisher.