Data for 2018
Human Capital Index, 2018
Figures for 2018, as World Bank Group published them · stored as published, never rewritten
Human Capital Index, 2018 covers 166 countries. Singapore is highest, at 0.88708; Chad is lowest, at 0.29903. The middle country reads 0.55800. Against 2017, 156 values changed (88 up, 68 down), 10 countries joined.
Human Capital Index · Data for 2018
HighestSingapore
0.88708LowestChad
0.29903Shaded by value in five groups of equal size, darkest at the better end.
01Position · derived
The table
Every country and every column of Human Capital Index, 2018, as published. World Bank Group ranks nobody on this measure; the position is derived here by ordering the published values. “=” marks a shared position.
Showing 25 of 166 countries · select a heading to sort
| derived | ||
|---|---|---|
| 1 | SGPSouth-eastern Asia | 0.88708 |
| 2 | JPNEastern Asia | 0.84071 |
| 3 | KOREastern Asia | 0.83455 |
| 4 | HKGEastern Asia | 0.82172 |
| 5 | FINNorthern Europe | 0.81448 |
| 6 | IRLNorthern Europe | 0.81368 |
| 7 | NLDWestern Europe | 0.80304 |
| 8 | SWENorthern Europe | 0.80251 |
| 9 | CANNorthern America | 0.80009 |
| 10 | SVNSouthern Europe | 0.78869 |
| 11 | PRTSouthern Europe | 0.78344 |
| 12 | AUSAustralia and New Zealand | 0.78083 |
| 13 | KAZCentral Asia | 0.77706 |
| 14 | GBRNorthern Europe | 0.77698 |
| 15 | ESTNorthern Europe | 0.77413 |
| 16 | NZLAustralia and New Zealand | 0.77121 |
| 17 | DNKNorthern Europe | 0.77083 |
| 18 | AUTWestern Europe | 0.76867 |
| 19 | NORNorthern Europe | 0.76853 |
| 20 | CHEWestern Europe | 0.76611 |
| 21 | CZEEastern Europe | 0.76452 |
| 22 | DEUWestern Europe | 0.76377 |
| 23 | MACEastern Asia | 0.76329 |
| 24 | ISRWestern Asia | 0.76306 |
| 25 | BELWestern Europe | 0.76276 |
| 26 | POLEastern Europe | 0.76022 |
| 27 | SRBSouthern Europe | 0.75949 |
| 28 | FRAWestern Europe | 0.75596 |
| 29 | CYPWestern Asia | 0.75462 |
| 30 | ITASouthern Europe | 0.75288 |
| 31 | ISLNorthern Europe | 0.74343 |
| 32 | LVANorthern Europe | 0.73835 |
| 33 | ESPSouthern Europe | 0.73616 |
| 34 | HRVSouthern Europe | 0.72937 |
| 35 | RUSEastern Europe | 0.72895 |
| 36 | LTUNorthern Europe | 0.72670 |
| 37 | USANorthern America | 0.71368 |
| 38 | MLTSouthern Europe | 0.70849 |
| 39 | HUNEastern Europe | 0.70506 |
| 40 | GRCSouthern Europe | 0.69481 |
| 41 | LUXWestern Europe | 0.69237 |
| 42 | VNMSouth-eastern Asia | 0.68724 |
| 43 | SVKEastern Europe | 0.68005 |
| 44 | AREWestern Asia | 0.67600 |
| 45 | BGREastern Europe | 0.67028 |
| 46 | CHLSouth America | 0.66527 |
| 47 | BHRWestern Asia | 0.66390 |
| 48 | CHNEastern Asia | 0.64710 |
| 49 | UKREastern Europe | 0.64238 |
| 50 | QATWestern Asia | 0.63483 |
| 51 | MYSSouth-eastern Asia | 0.63258 |
| 52 | SYCEastern Africa | 0.63056 |
| 53 | AZEWestern Asia | 0.62931 |
| 54 | ALBSouthern Europe | 0.62867 |
| 55 | TURWestern Asia | 0.62531 |
| 56 | MUSEastern Africa | 0.62327 |
| 57 | MNESouthern Europe | 0.62282 |
| 58 | BIHSouthern Europe | 0.61927 |
| 59 | ARGSouth America | 0.61737 |
| 60 | MNGEastern Asia | 0.61731 |
| 61 | THASouth-eastern Asia | 0.61686 |
| 62 | MEXCentral America | 0.61166 |
| 63 | OMNWestern Asia | 0.61119 |
| 64 | GEOWestern Asia | 0.60906 |
| 65 | CRICentral America | 0.60326 |
| 66 | URYSouth America | 0.60237 |
| 67 | TTOCaribbean | 0.60233 |
| 68 | COLSouth America | 0.59865 |
| 69 | ECUSouth America | 0.59622 |
| 70 | PERSouth America | 0.59462 |
| 71 | ROUEastern Europe | 0.59441 |
| 72 | KGZCentral Asia | 0.59355 |
| 73 | LKASouthern Asia | 0.59337 |
| 74 | IRNSouthern Asia | 0.59221 |
| 75 | LCACaribbean | 0.58859 |
| 76 | MDAEastern Europe | 0.58176 |
| 77 | ARMWestern Asia | 0.58173 |
| 78 | SAUWestern Asia | 0.58075 |
| 79 | ATGCaribbean | 0.57822 |
| 80 | KNACaribbean | 0.57247 |
| 81 | PSEWestern Asia | 0.57173 |
| 82 | PLWMicronesia | 0.56731 |
| 83 | KWTWestern Asia | 0.56426 |
| 84 | DMACaribbean | 0.55174 |
| 85 | PHLSouth-eastern Asia | 0.54902 |
| 86 | JORWestern Asia | 0.54693 |
| 87 | BRASouth America | 0.54572 |
| 88 | SLVCentral America | 0.54499 |
| 89 | KENEastern Africa | 0.54219 |
| 90 | TJKCentral Asia | 0.54213 |
| 91 | GRDCaribbean | 0.54119 |
| 92 | JAMCaribbean | 0.53927 |
| 93 | IDNSouth-eastern Asia | 0.53796 |
| 94 | VCTCaribbean | 0.53586 |
| 95 | MKDSouthern Europe | 0.53539 |
| 96 | DZANorthern Africa | 0.53199 |
| 97 | PRYSouth America | 0.52751 |
| 98 | LBNWestern Asia | 0.52464 |
| 99 | WSMPolynesia | 0.52239 |
| 100 | TONPolynesia | 0.51803 |
| 101 | PANCentral America | 0.51394 |
| 102 | TUNNorthern Africa | 0.50961 |
| 103 | NICCentral America | 0.50738 |
| 104 | DOMCaribbean | 0.50688 |
| 105 | NPLSouthern Asia | 0.49819 |
| 106 | GUYSouth America | 0.49434 |
| 107 | MARNorthern Africa | 0.49254 |
| 108 | EGYNorthern Africa | 0.49251 |
| 109 | KHMSouth-eastern Asia | 0.49068 |
| 110 | INDSouthern Asia | 0.48480 |
| 111 | HNDCentral America | 0.48031 |
| 112 | MMRSouth-eastern Asia | 0.47183 |
| 113 | KIRMicronesia | 0.47072 |
| 114 | FSMMicronesia | 0.46642 |
| 115 | ZWEEastern Africa | 0.46124 |
| 116 | BGDSouthern Asia | 0.45855 |
| 117 | LAOSouth-eastern Asia | 0.45682 |
| 118 | GTMCentral America | 0.45677 |
| 119 | GABMiddle Africa | 0.45639 |
| 120 | TLSSouth-eastern Asia | 0.45305 |
| 121 | NAMSouthern Africa | 0.44508 |
| 122 | HTICaribbean | 0.44479 |
| 123 | VUTMelanesia | 0.44475 |
| 124 | GHAWestern Africa | 0.44349 |
| 125 | TUVPolynesia | 0.44053 |
| 126 | SLBMelanesia | 0.43086 |
| 127 | PNGMelanesia | 0.42477 |
| 128 | ZAFSouthern Africa | 0.42255 |
| 129 | SENWestern Africa | 0.42106 |
| 130 | TGOWestern Africa | 0.42079 |
| 131 | COGMiddle Africa | 0.41784 |
| 132 | BWASouthern Africa | 0.41252 |
| 133 | MWIEastern Africa | 0.41106 |
| 134 | MHLMicronesia | 0.40437 |
| 135 | GMBWestern Africa | 0.40329 |
| 136 | COMEastern Africa | 0.40095 |
| 137 | IRQWestern Asia | 0.39948 |
| 138 | PAKSouthern Asia | 0.39930 |
| 139 | LSOSouthern Africa | 0.39849 |
| 140 | BENWestern Africa | 0.39695 |
| 141 | AFGSouthern Asia | 0.39349 |
| 142 | CMRMiddle Africa | 0.39332 |
| 143 | ZMBEastern Africa | 0.39118 |
| 144 | BDIEastern Africa | 0.38957 |
| 145 | TZAEastern Africa | 0.38626 |
| 146 | MDGEastern Africa | 0.38549 |
| 147 | ETHEastern Africa | 0.38410 |
| 148 | UGAEastern Africa | 0.38213 |
| 149 | BFAWestern Africa | 0.37828 |
| 150 | RWAEastern Africa | 0.37691 |
| 151 | SDNNorthern Africa | 0.37604 |
| 152 | YEMWestern Asia | 0.37264 |
| 153 | MRTWestern Africa | 0.37059 |
| 154 | CIVWestern Africa | 0.36997 |
| 155 | SWZSouthern Africa | 0.36954 |
| 156 | GINWestern Africa | 0.36908 |
| 157 | CODMiddle Africa | 0.36453 |
| 158 | AGOMiddle Africa | 0.36019 |
| 159 | MOZEastern Africa | 0.35547 |
| 160 | NGAWestern Africa | 0.35475 |
| 161 | SLEWestern Africa | 0.35329 |
| 162 | MLIWestern Africa | 0.32151 |
| 163 | NERWestern Africa | 0.31803 |
| 164 | LBRWestern Africa | 0.31757 |
| 165 | SSDEastern Africa | 0.30591 |
| 166 | TCDMiddle Africa | 0.29903 |
02In 2018
At either end
The 5 countries at each end of the headline.
Highest
- 1
Singapore0.88708
- 2
Japan0.84071
- 3
South Korea0.83455
- 4
Hong Kong0.82172
- 5
Finland0.81448
Lowest
- 166
Chad0.29903
- 165
South Sudan0.30591
- 164
Liberia0.31757
- 163
Niger0.31803
- 162
Mali0.32151
A higher value is the better result. The middle country reads 0.55800. “Shared” marks a value another country also holds.
032017 → 2018
Since 2017
What changed between 2017 and this one: who joined or left, and how far the headline moved.
- +10 / −0countries joined / left
- 156values changed, of 156 in both
- 88 · 68rose · fell
- 0unchanged
Rose most
India0.44000 → 0.48480+0.04480
El Salvador0.50100 → 0.54499+0.04399
Papua New Guinea0.38400 → 0.42477+0.04077
Azerbaijan0.59700 → 0.62931+0.03231
Kazakhstan0.74600 → 0.77706+0.03106
Fell most
Tuvalu0.55400 → 0.44053−0.11347
United States0.76200 → 0.71368−0.04832
Seychelles0.67800 → 0.63056−0.04744
Eswatini0.40900 → 0.36954−0.03946
Germany0.79500 → 0.76377−0.03123
Changes in value, not in places: a country’s place also moves when others do. Every country’s full history is charted on the statistic page.
04Caveats
Read before you use
What this edition’s numbers are and are not, worked out from the file itself.
The position is ours
World Bank Group publishes values only; the order is this site’s.
Nothing missing
Every one of the 166 countries has every column.
05The 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
166 rows · 6.5 KB · UTF-8, opens in Excel
Opens with 11 lines of source notes; the table starts on row 13.
Download human-capital-index-2018-nations-inquiry.csv - ↗
The publisher’s original
World Bank Group’s own file, on its own site.
HD.HCI.OVRL
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 · what it allows, in plain words
Cite this edition
World Bank Group (2018). Human Capital Index, 2018 [data set], describing 2018. As held by Nations Inquiry, https://nationsinquiry.com/datasets/human-capital-index/2018
064 held
Other years
‹ The year before
Human Capital Index, 2017156 countries
The year after ›
Human Capital Index, 2020172 countries
All of them
Human Capital Index: every year4 held, with the data dictionary, coverage and licence.
How it has moved, charted by country
07Questions
Human Capital Index, 2018: questions and answers
Which country has the highest Human Capital Index in Human Capital Index, 2018?
Singapore, at 0.88708, of the 166 countries in the file.
What year does Human Capital Index, 2018 describe?
2018.
How many countries does Human Capital Index, 2018 cover?
166.
Where can I download Human Capital Index, 2018?
On this page, as a CSV file holding every value exactly as published, or from the publisher’s own site, linked below.
Is Human Capital Index, 2018 the newest?
No. The newest held here is Human Capital Index, 2020.