Data for 2017
Human Capital Index, 2017
Figures for 2017, as World Bank Group published them · stored as published, never rewritten
Human Capital Index, 2017 covers 156 countries. Singapore is highest, at 0.884; Chad is lowest, at 0.293. The middle country reads 0.567. Against 2010, 103 values changed (91 up, 12 down), 53 countries joined.
Human Capital Index · Data for 2017
HighestSingapore
0.884LowestChad
0.293Shaded 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, 2017, 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 156 countries · select a heading to sort
| derived | ||
|---|---|---|
| 1 | SGPSouth-eastern Asia | 0.884 |
| 2 | KOREastern Asia | 0.845 |
| 3 | JPNEastern Asia | 0.844 |
| 4 | HKGEastern Asia | 0.822 |
| 5 | FINNorthern Europe | 0.814 |
| 6 | IRLNorthern Europe | 0.806 |
| 7 | AUSAustralia and New Zealand | 0.803 |
| =8 | NLDWestern Europe | 0.800 |
| =8 | SWENorthern Europe | 0.800 |
| 10 | CANNorthern America | 0.799 |
| 11 | DEUWestern Europe | 0.795 |
| 12 | AUTWestern Europe | 0.793 |
| 13 | SVNSouthern Europe | 0.788 |
| 14 | CZEEastern Europe | 0.782 |
| 15 | GBRNorthern Europe | 0.781 |
| 16 | PRTSouthern Europe | 0.776 |
| 17 | DNKNorthern Europe | 0.774 |
| 18 | NORNorthern Europe | 0.771 |
| 19 | ITASouthern Europe | 0.769 |
| =20 | NZLAustralia and New Zealand | 0.767 |
| =20 | CHEWestern Europe | 0.767 |
| 22 | FRAWestern Europe | 0.765 |
| 23 | ISRWestern Asia | 0.763 |
| 24 | USANorthern America | 0.762 |
| 25 | MACEastern Asia | 0.759 |
| 26 | BELWestern Europe | 0.757 |
| 27 | SRBSouthern Europe | 0.755 |
| 28 | CYPWestern Asia | 0.751 |
| =29 | ESTNorthern Europe | 0.747 |
| =29 | POLEastern Europe | 0.747 |
| 31 | KAZCentral Asia | 0.746 |
| 32 | ESPSouthern Europe | 0.743 |
| 33 | ISLNorthern Europe | 0.740 |
| 34 | RUSEastern Europe | 0.729 |
| 35 | LVANorthern Europe | 0.724 |
| 36 | HRVSouthern Europe | 0.723 |
| 37 | LTUNorthern Europe | 0.712 |
| 38 | HUNEastern Europe | 0.703 |
| 39 | MLTSouthern Europe | 0.701 |
| 40 | SVKEastern Europe | 0.694 |
| 41 | LUXWestern Europe | 0.692 |
| 42 | GRCSouthern Europe | 0.681 |
| 43 | SYCEastern Africa | 0.678 |
| 44 | BGREastern Europe | 0.676 |
| 45 | CHLSouth America | 0.674 |
| 46 | CHNEastern Asia | 0.673 |
| 47 | BHRWestern Asia | 0.668 |
| 48 | VNMSouth-eastern Asia | 0.666 |
| 49 | AREWestern Asia | 0.659 |
| 50 | UKREastern Europe | 0.647 |
| =51 | MUSEastern Africa | 0.626 |
| =51 | MNGEastern Asia | 0.626 |
| =51 | TURWestern Asia | 0.626 |
| =54 | MYSSouth-eastern Asia | 0.622 |
| =54 | OMNWestern Asia | 0.622 |
| 56 | ALBSouthern Europe | 0.621 |
| 57 | CRICentral America | 0.619 |
| 58 | BIHSouthern Europe | 0.618 |
| =59 | MNESouthern Europe | 0.615 |
| =59 | QATWestern Asia | 0.615 |
| 61 | GEOWestern Asia | 0.614 |
| 62 | TTOCaribbean | 0.613 |
| 63 | ARGSouth America | 0.611 |
| 64 | MEXCentral America | 0.607 |
| 65 | THASouth-eastern Asia | 0.604 |
| 66 | ECUSouth America | 0.602 |
| 67 | ROUEastern Europe | 0.601 |
| 68 | URYSouth America | 0.600 |
| 69 | AZEWestern Asia | 0.597 |
| 70 | COLSouth America | 0.593 |
| 71 | IRNSouthern Asia | 0.591 |
| 72 | PERSouth America | 0.586 |
| 73 | SAUWestern Asia | 0.585 |
| 74 | LKASouthern Asia | 0.584 |
| =75 | KGZCentral Asia | 0.580 |
| =75 | MDAEastern Europe | 0.580 |
| 77 | KWTWestern Asia | 0.576 |
| 78 | ARMWestern Asia | 0.572 |
| 79 | JORWestern Asia | 0.562 |
| 80 | BRASouth America | 0.560 |
| =81 | PSEWestern Asia | 0.554 |
| =81 | TUVPolynesia | 0.554 |
| 83 | PHLSouth-eastern Asia | 0.548 |
| 84 | JAMCaribbean | 0.544 |
| 85 | LBNWestern Asia | 0.538 |
| 86 | IDNSouth-eastern Asia | 0.535 |
| 87 | MKDSouthern Europe | 0.534 |
| =88 | PRYSouth America | 0.533 |
| =88 | TJKCentral Asia | 0.533 |
| 90 | PANCentral America | 0.532 |
| 91 | NICCentral America | 0.531 |
| 92 | DZANorthern Africa | 0.523 |
| 93 | KENEastern Africa | 0.518 |
| 94 | TONPolynesia | 0.512 |
| 95 | TUNNorthern Africa | 0.508 |
| 96 | SLVCentral America | 0.501 |
| 97 | MARNorthern Africa | 0.500 |
| 98 | GUYSouth America | 0.495 |
| 99 | KHMSouth-eastern Asia | 0.493 |
| 100 | DOMCaribbean | 0.492 |
| =101 | HNDCentral America | 0.490 |
| =101 | NPLSouthern Asia | 0.490 |
| 103 | EGYNorthern Africa | 0.486 |
| =104 | BGDSouthern Asia | 0.479 |
| =104 | KIRMicronesia | 0.479 |
| 106 | MMRSouth-eastern Asia | 0.473 |
| 107 | VUTMelanesia | 0.471 |
| 108 | GTMCentral America | 0.460 |
| 109 | GABMiddle Africa | 0.453 |
| 110 | LAOSouth-eastern Asia | 0.452 |
| 111 | HTICaribbean | 0.446 |
| 112 | SLBMelanesia | 0.443 |
| 113 | ZWEEastern Africa | 0.441 |
| 114 | INDSouthern Asia | 0.440 |
| 115 | GHAWestern Africa | 0.439 |
| 116 | NAMSouthern Africa | 0.435 |
| 117 | TLSSouth-eastern Asia | 0.434 |
| 118 | BWASouthern Africa | 0.424 |
| 119 | COGMiddle Africa | 0.420 |
| 120 | SENWestern Africa | 0.418 |
| 121 | TGOWestern Africa | 0.413 |
| =122 | COMEastern Africa | 0.409 |
| =122 | SWZSouthern Africa | 0.409 |
| 124 | MWIEastern Africa | 0.407 |
| =125 | BENWestern Africa | 0.406 |
| =125 | ZAFSouthern Africa | 0.406 |
| 127 | TZAEastern Africa | 0.400 |
| 128 | IRQWestern Asia | 0.398 |
| 129 | GMBWestern Africa | 0.397 |
| 130 | ZMBEastern Africa | 0.396 |
| 131 | CMRMiddle Africa | 0.394 |
| =132 | AFGSouthern Asia | 0.389 |
| =132 | PAKSouthern Asia | 0.389 |
| 134 | ETHEastern Africa | 0.385 |
| 135 | PNGMelanesia | 0.384 |
| 136 | UGAEastern Africa | 0.382 |
| 137 | BDIEastern Africa | 0.380 |
| 138 | SDNNorthern Africa | 0.379 |
| =139 | GINWestern Africa | 0.374 |
| =139 | MDGEastern Africa | 0.374 |
| =139 | RWAEastern Africa | 0.374 |
| 142 | LSOSouthern Africa | 0.371 |
| =143 | BFAWestern Africa | 0.369 |
| =143 | CODMiddle Africa | 0.369 |
| =143 | YEMWestern Asia | 0.369 |
| =146 | AGOMiddle Africa | 0.361 |
| =146 | MOZEastern Africa | 0.361 |
| =148 | CIVWestern Africa | 0.353 |
| =148 | MRTWestern Africa | 0.353 |
| 150 | SLEWestern Africa | 0.351 |
| 151 | NGAWestern Africa | 0.342 |
| 152 | LBRWestern Africa | 0.319 |
| 153 | MLIWestern Africa | 0.317 |
| 154 | NERWestern Africa | 0.316 |
| 155 | SSDEastern Africa | 0.302 |
| 156 | TCDMiddle Africa | 0.293 |
02In 2017
At either end
The 5 countries at each end of the headline.
Highest
- 1
Singapore0.884
- 2
South Korea0.845
- 3
Japan0.844
- 4
Hong Kong0.822
- 5
Finland0.814
Lowest
- 156
Chad0.293
- 155
South Sudan0.302
- 154
Niger0.316
- 153
Mali0.317
- 152
Liberia0.319
A higher value is the better result. The middle country reads 0.567. “Shared” marks a value another country also holds.
032010 → 2017
Since 2010
What changed between 2010 and this one: who joined or left, and how far the headline moved.
- +53 / −0countries joined / left
- 103values changed, of 103 in both
- 91 · 12rose · fell
- 0unchanged
Rose most
Kazakhstan0.594 → 0.746+0.152
Russia0.601 → 0.729+0.128
Macau0.648 → 0.759+0.111
Serbia0.651 → 0.755+0.104
Seychelles0.575 → 0.678+0.103
Fell most
Greece0.715 → 0.681−0.034
South Africa0.425 → 0.406−0.019
Tunisia0.525 → 0.508−0.017
Iceland0.755 → 0.740−0.015
Madagascar0.389 → 0.374−0.015
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.
135 distinct values among 156
Values are stored exactly as published, to 3 decimals. 3 countries share 0.626. Countries sharing a value share a position too.
The position is ours
World Bank Group publishes values only; the order is this site’s.
Nothing missing
Every one of the 156 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
156 rows · 4.3 KB · UTF-8, opens in Excel
Opens with 11 lines of source notes; the table starts on row 13.
Download human-capital-index-2017-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 (2017). Human Capital Index, 2017 [data set], describing 2017. As held by Nations Inquiry, https://nationsinquiry.com/datasets/human-capital-index/2017
064 held
Other years
‹ The year before
Human Capital Index, 2010103 countries
The year after ›
Human Capital Index, 2018166 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, 2017: questions and answers
Which country has the highest Human Capital Index in Human Capital Index, 2017?
Singapore, at 0.884, of the 156 countries in the file.
What year does Human Capital Index, 2017 describe?
2017.
How many countries does Human Capital Index, 2017 cover?
156.
Where can I download Human Capital Index, 2017?
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, 2017 the newest?
No. The newest held here is Human Capital Index, 2020.