Data for 2019
Mean Years of Schooling, 2019
2019, as UNDP Human Development Report Office’s 2025 release gives it · stored as published, never rewritten
Mean Years of Schooling, 2019 covers 192 countries. Germany is highest, at 14.1700; Niger is lowest, at 1.2936. The middle country reads 9.6057. Against 2018, 187 values changed (161 up, 26 down), the same countries are covered.
Mean Years of Schooling · Data for 2019
HighestGermany
14.1700LowestNiger
1.2936Shaded by value in five groups of equal size, darkest at the better end.
01Position · derived
The table
Every country and every column of Mean Years of Schooling, 2019, as published. UNDP Human Development Report Office ranks nobody on this measure; the position is derived here by ordering the published values. “=” marks a shared position.
Showing 25 of 192 countries · select a heading to sort
| derived | ||
|---|---|---|
| 1 | DEUWestern Europe | 14.1700 |
| 2 | CHEWestern Europe | 13.8600 |
| 3 | CANNorthern America | 13.8140 |
| 4 | ISLNorthern Europe | 13.7300 |
| 5 | ESTNorthern Europe | 13.6050 |
| 6 | USANorthern America | 13.5900 |
| 7 | LTUNorthern Europe | 13.3967 |
| 8 | ISRWestern Asia | 13.3403 |
| 9 | GBRNorthern Europe | 13.3267 |
| 10 | LVANorthern Europe | 13.2500 |
| 11 | PLWMicronesia | 13.1776 |
| 12 | POLEastern Europe | 13.1200 |
| 13 | NZLAustralia and New Zealand | 13.0375 |
| 14 | NORNorthern Europe | 13.0000 |
| =15 | DNKNorthern Europe | 12.9100 |
| =15 | SVKEastern Europe | 12.9100 |
| =17 | CZEEastern Europe | 12.8700 |
| =17 | FINNorthern Europe | 12.8700 |
| 19 | GEOWestern Asia | 12.8200 |
| 20 | SVNSouthern Europe | 12.8000 |
| 21 | AREWestern Asia | 12.6900 |
| 22 | JPNEastern Asia | 12.6560 |
| 23 | BHSCaribbean | 12.6353 |
| 24 | SWENorthern Europe | 12.6100 |
| 25 | AUSAustralia and New Zealand | 12.5600 |
| 26 | LUXWestern Europe | 12.5448 |
| 27 | KOREastern Asia | 12.5182 |
| 28 | MNESouthern Europe | 12.4628 |
| 29 | NLDWestern Europe | 12.4500 |
| 30 | RUSEastern Europe | 12.3973 |
| 31 | BELWestern Europe | 12.3800 |
| 32 | CYPWestern Asia | 12.3600 |
| 33 | KAZCentral Asia | 12.3214 |
| 34 | LIEWestern Europe | 12.3081 |
| 35 | AUTWestern Europe | 12.2600 |
| 36 | HKGEastern Asia | 12.2300 |
| 37 | HUNEastern Europe | 12.1600 |
| 38 | BLREastern Europe | 12.1400 |
| 39 | MLTSouthern Europe | 12.0250 |
| 40 | UZBCentral Asia | 11.9000 |
| 41 | KGZCentral Asia | 11.8588 |
| 42 | HRVSouthern Europe | 11.8492 |
| 43 | MDAEastern Europe | 11.7600 |
| 44 | ATGCaribbean | 11.7153 |
| 45 | SGPSouth-eastern Asia | 11.6800 |
| 46 | FRAWestern Europe | 11.6100 |
| 47 | IRLNorthern Europe | 11.5766 |
| 48 | MHLMicronesia | 11.4489 |
| 49 | OMNWestern Asia | 11.4200 |
| 50 | WSMPolynesia | 11.4018 |
| =51 | SRBSouthern Europe | 11.3700 |
| =51 | ZAFSouthern Africa | 11.3700 |
| 53 | BGREastern Europe | 11.3533 |
| 54 | TJKCentral Asia | 11.3323 |
| 55 | ARMWestern Asia | 11.2833 |
| 56 | ROUEastern Europe | 11.2800 |
| 57 | SYCEastern Africa | 11.2000 |
| 58 | UKREastern Europe | 11.1349 |
| 59 | ARGSouth America | 11.1200 |
| 60 | GRCSouthern Europe | 11.1200 |
| 61 | ANDSouthern Europe | 11.0850 |
| 62 | TKMCentral Asia | 11.0786 |
| 63 | VCTCaribbean | 11.0439 |
| 64 | SMRSouthern Europe | 11.0150 |
| 65 | MKDSouthern Europe | 10.9577 |
| 66 | SAUWestern Asia | 10.9467 |
| 67 | CHLSouth America | 10.9349 |
| 68 | TONPolynesia | 10.8514 |
| 69 | KNACaribbean | 10.8494 |
| 70 | TTOCaribbean | 10.7511 |
| 71 | BHRWestern Asia | 10.7500 |
| 72 | CUBCaribbean | 10.6636 |
| 73 | ITASouthern Europe | 10.6540 |
| 74 | MYSSouth-eastern Asia | 10.6500 |
| 75 | AZEWestern Asia | 10.6400 |
| 76 | LKASouthern Asia | 10.6300 |
| 77 | IRNSouthern Asia | 10.6288 |
| 78 | PANCentral America | 10.5400 |
| 79 | TUVPolynesia | 10.5234 |
| 80 | FJIMelanesia | 10.5005 |
| 81 | JORWestern Asia | 10.4000 |
| 82 | ESPSouthern Europe | 10.3750 |
| 83 | LBNWestern Asia | 10.3700 |
| 84 | BWASouthern Africa | 10.3400 |
| 85 | BIHSouthern Europe | 10.1750 |
| 86 | MNGEastern Asia | 10.1620 |
| 87 | QATWestern Asia | 10.1460 |
| 88 | ALBSouthern Europe | 10.0730 |
| 89 | PERSouth America | 9.8898 |
| 90 | DMACaribbean | 9.8876 |
| 91 | MUSEastern Africa | 9.8806 |
| 92 | BOLSouth America | 9.8600 |
| 93 | BRBCaribbean | 9.8517 |
| 94 | VENSouth America | 9.8203 |
| 95 | PSEWestern Asia | 9.7300 |
| 96 | NICCentral America | 9.6337 |
| 97 | EGYNorthern Africa | 9.5777 |
| 98 | JAMCaribbean | 9.5454 |
| 99 | GABMiddle Africa | 9.4360 |
| 100 | GRDCaribbean | 9.3913 |
| 101 | PRTSouthern Europe | 9.3300 |
| 102 | BRNSouth-eastern Asia | 9.1800 |
| 103 | KIRMicronesia | 9.0830 |
| 104 | MEXCentral America | 9.0750 |
| 105 | NRUMicronesia | 9.0736 |
| 106 | URYSouth America | 8.9800 |
| 107 | PHLSouth-eastern Asia | 8.9700 |
| 108 | DOMCaribbean | 8.8655 |
| 109 | BLZCentral America | 8.8647 |
| 110 | PRYSouth America | 8.8100 |
| 111 | ECUSouth America | 8.8033 |
| 112 | CRICentral America | 8.7600 |
| 113 | THASouth-eastern Asia | 8.7000 |
| 114 | ZWEEastern Africa | 8.6875 |
| 115 | COLSouth America | 8.6400 |
| 116 | TURWestern Asia | 8.6300 |
| 117 | GUYSouth America | 8.5586 |
| 118 | LCACaribbean | 8.5500 |
| 119 | VNMSouth-eastern Asia | 8.4400 |
| 120 | IDNSouth-eastern Asia | 8.3600 |
| 121 | SURSouth America | 8.3471 |
| 122 | COGMiddle Africa | 8.2319 |
| 123 | GNQMiddle Africa | 8.2242 |
| 124 | BRASouth America | 8.1258 |
| 125 | SWZSouthern Africa | 8.0923 |
| 126 | KENEastern Africa | 7.9947 |
| 127 | CHNEastern Asia | 7.8833 |
| 128 | LBYNorthern Africa | 7.7853 |
| 129 | LSOSouthern Africa | 7.3628 |
| 130 | KWTWestern Asia | 7.3335 |
| 131 | FSMMicronesia | 7.3297 |
| 132 | TUNNorthern Africa | 7.2900 |
| 133 | NGAWestern Africa | 7.1920 |
| 134 | NAMSouthern Africa | 7.1908 |
| 135 | ZMBEastern Africa | 7.1571 |
| 136 | CODMiddle Africa | 7.1269 |
| 137 | MDVSouthern Asia | 7.1112 |
| 138 | SLVCentral America | 7.1100 |
| 139 | HNDCentral America | 7.0900 |
| 140 | VUTMelanesia | 7.0458 |
| 141 | DZANorthern Africa | 7.0203 |
| 142 | IRQWestern Asia | 6.7185 |
| 143 | BGDSouthern Asia | 6.5500 |
| 144 | GHAWestern Africa | 6.5152 |
| 145 | CMRMiddle Africa | 6.4786 |
| 146 | MMRSouth-eastern Asia | 6.3800 |
| 147 | INDSouthern Asia | 6.2814 |
| 148 | UGAEastern Africa | 6.1464 |
| 149 | CPVWestern Africa | 6.0380 |
| 150 | SYRWestern Asia | 5.9761 |
| 151 | MARNorthern Africa | 5.9160 |
| 152 | LAOSouth-eastern Asia | 5.8533 |
| 153 | SLBMelanesia | 5.8507 |
| 154 | STPMiddle Africa | 5.8458 |
| 155 | TLSSouth-eastern Asia | 5.8204 |
| 156 | AGOMiddle Africa | 5.7345 |
| 157 | SSDEastern Africa | 5.7300 |
| 158 | TZAEastern Africa | 5.7082 |
| 159 | GTMCentral America | 5.6800 |
| 160 | COMEastern Africa | 5.5853 |
| 161 | LBRWestern Africa | 5.5597 |
| 162 | HTICaribbean | 5.3823 |
| 163 | TGOWestern Africa | 5.3364 |
| 164 | MWIEastern Africa | 5.2537 |
| 165 | BTNSouthern Asia | 5.1703 |
| 166 | ERIEastern Africa | 4.9348 |
| 167 | MDGEastern Africa | 4.9108 |
| 168 | PNGMelanesia | 4.8923 |
| 169 | CIVWestern Africa | 4.8157 |
| 170 | KHMSouth-eastern Asia | 4.7984 |
| 171 | YEMWestern Asia | 4.6708 |
| 172 | MRTWestern Africa | 4.6465 |
| 173 | RWAEastern Africa | 4.6042 |
| 174 | PAKSouthern Asia | 4.5400 |
| 175 | NPLSouthern Asia | 4.3333 |
| 176 | GMBWestern Africa | 4.3061 |
| 177 | CAFMiddle Africa | 3.9296 |
| 178 | DJIEastern Africa | 3.8419 |
| 179 | SDNNorthern Africa | 3.8200 |
| 180 | GNBWestern Africa | 3.6730 |
| 181 | MOZEastern Africa | 3.5933 |
| 182 | SLEWestern Africa | 3.5032 |
| 183 | BDIEastern Africa | 3.1188 |
| 184 | BENWestern Africa | 3.0335 |
| 185 | SENWestern Africa | 2.8415 |
| 186 | AFGSouthern Asia | 2.7014 |
| 187 | ETHEastern Africa | 2.3795 |
| 188 | GINWestern Africa | 2.2427 |
| 189 | TCDMiddle Africa | 2.2328 |
| 190 | BFAWestern Africa | 2.1000 |
| 191 | MLIWestern Africa | 2.0418 |
| 192 | NERWestern Africa | 1.2936 |
02In 2019
At either end
The 5 countries at each end of the headline.
Highest
- 1
Germany14.1700
- 2
Switzerland13.8600
- 3
Canada13.8140
- 4
Iceland13.7300
- 5
Estonia13.6050
Lowest
- 192
Niger1.2936
- 191
Mali2.0418
- 190
Burkina Faso2.1000
- 189
Chad2.2328
- 188
Guinea2.2427
A higher value is the better result. The middle country reads 9.6057. “Shared” marks a value another country also holds.
032018 → 2019
Since 2018
What changed between 2018 and this one: who joined or left, and how far the headline moved.
- +0 / −0countries joined / left
- 187values changed, of 192 in both
- 161 · 26rose · fell
- 5unchanged
Rose most
Honduras6.2900 → 7.0900+0.8000
South Africa10.7550 → 11.3700+0.6150
Bhutan4.5806 → 5.1703+0.5896
Myanmar5.8698 → 6.3800+0.5102
Oman10.9900 → 11.4200+0.4300
Fell most
Mongolia10.9040 → 10.1620−0.7420
North Macedonia11.6854 → 10.9577−0.7277
Tunisia7.6226 → 7.2900−0.3326
Pakistan4.7703 → 4.5400−0.2303
Madagascar5.0700 → 4.9108−0.1592
Both years come from the same release, so a difference here is a change in the data, not a revision of it. 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.
One year of the 2025 release
Every year in this series comes from UNDP Human Development Report Office’s 2025 release, recalculated on one method. It can differ from what was first published for 2019.
189 distinct values among 192
Values are stored exactly as published, to 9 decimals. 2 countries share 12.9100. Countries sharing a value share a position too.
The position is ours
UNDP Human Development Report Office publishes values only; the order is this site’s.
Nothing missing
Every one of the 192 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
192 rows · 6.4 KB · UTF-8, opens in Excel
Opens with 11 lines of source notes; the table starts on row 13.
Download mean-years-schooling-2019-nations-inquiry.csv - ↗
The publisher’s original
UNDP Human Development Report Office’s own file, on its own site.
HDR25_Composite_indices_complete_time_series.csv
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 3.0 IGO · what it allows, in plain words
Cite this edition
UNDP Human Development Report Office (2019). Mean Years of Schooling, 2019 [data set], describing 2019. As held by Nations Inquiry, https://nationsinquiry.com/datasets/mean-years-schooling/2019
0634 held
Other years
‹ The year before
Mean Years of Schooling, 2018192 countries
The year after ›
Mean Years of Schooling, 2020192 countries
All of them
Mean Years of Schooling: every year34 held, with the data dictionary, coverage and licence.
How it has moved, charted by country
07Questions
Mean Years of Schooling, 2019: questions and answers
Which country has the highest mean years of schooling in Mean Years of Schooling, 2019?
Germany, at 14.1700, of the 192 countries in the file.
What year does Mean Years of Schooling, 2019 describe?
2019.
How many countries does Mean Years of Schooling, 2019 cover?
192.
Where can I download Mean Years of Schooling, 2019?
On this page, as a CSV file holding every value exactly as published, or from the publisher’s own site, linked below.
Is Mean Years of Schooling, 2019 the newest?
No. The newest held here is Mean Years of Schooling, 2023.