Data for 1972
State Capacity Index, 1972
1972, as Jonathan K. Hanson (University of Michigan) and Rachel Sigman (Naval Postgraduate School)’s 2020 release gives it · stored as published, never rewritten
State Capacity Index, 1972 covers 126 countries on 2 measures. Sweden is highest, at 2.2300; Equatorial Guinea is lowest, at -1.3930. The middle country reads -0.1735. Against 1971, 124 values changed (78 up, 46 down), 1 country joined.
State Capacity Index · Data for 1972
HighestSweden
2.2300
LowestEquatorial Guinea
-1.3930Shaded by value in five groups of equal size, darkest at the better end. A higher value is the better result.
01Position · derived
The table
Every country and every column of State Capacity Index, 1972, as published. Jonathan K. Hanson (University of Michigan) and Rachel Sigman (Naval Postgraduate School) ranks nobody on this measure; the position is derived here by ordering the published values. “=” marks a shared position.
Showing 25 of 126 countries · select a heading to sort
| derived | |||
|---|---|---|---|
| 1 | SwedenSWENorthern Europe | 2.2300 | 0.384766 |
| 2 |  DenmarkDNKNorthern Europe | 2.2130 | 0.372362 |
| 3 |  NorwayNORNorthern Europe | 2.0540 | 0.402796 |
| 4 |  AustraliaAUSAustralia and New Zealand | 1.9120 | 0.371859 |
| 5 |  FinlandFINNorthern Europe | 1.8960 | 0.375470 |
| 6 |  New ZealandNZLAustralia and New Zealand | 1.8420 | 0.378583 |
| 7 |  CanadaCANNorthern America | 1.7960 | 0.406034 |
| 8 |  JapanJPNEastern Asia | 1.7910 | 0.397602 |
| 9 |  BelgiumBELWestern Europe | 1.7300 | 0.377578 |
| 10 |  NetherlandsNLDWestern Europe | 1.7270 | 0.374144 |
| 11 |  FranceFRAWestern Europe | 1.5020 | 0.376260 |
| 12 |  KuwaitKWTWestern Asia | 1.4980 | 0.393779 |
| 13 |  AustriaAUTWestern Europe | 1.4230 | 0.383073 |
| 14 |  United KingdomGBRNorthern Europe | 1.4020 | 0.378437 |
| 15 |  South KoreaKOREastern Asia | 1.3650 | 0.355676 |
| 16 |  SwitzerlandCHEWestern Europe | 1.3540 | 0.374968 |
| 17 |  United StatesUSANorthern America | 1.3330 | 0.396060 |
| 18 |  IsraelISRWestern Asia | 1.2380 | 0.378037 |
| 19 |  SingaporeSGPSouth-eastern Asia | 1.1290 | 0.376010 |
| 20 |  IrelandIRLNorthern Europe | 0.9973 | 0.391826 |
| 21 |  ItalyITASouthern Europe | 0.8469 | 0.373863 |
| 22 |  BulgariaBGREastern Europe | 0.7951 | 0.432568 |
| 23 |  VenezuelaVENSouth America | 0.7723 | 0.383173 |
| 24 |  TaiwanTWNEastern Asia | 0.7705 | 0.423040 |
| 25 |  OmanOMNWestern Asia | 0.7348 | 0.389170 |
| 26 |  SpainESPSouthern Europe | 0.6800 | 0.365937 |
| 27 |  TürkiyeTURWestern Asia | 0.6638 | 0.359511 |
| 28 |  PortugalPRTSouthern Europe | 0.6428 | 0.382916 |
| 29 |  GuyanaGUYSouth America | 0.6372 | 0.391997 |
| 30 |  RomaniaROUEastern Europe | 0.6039 | 0.401278 |
| 31 |  PolandPOLEastern Europe | 0.5835 | 0.430422 |
| 32 |  ChileCHLSouth America | 0.5655 | 0.359143 |
| 33 |  GreeceGRCSouthern Europe | 0.5441 | 0.361658 |
| 34 |  Costa RicaCRICentral America | 0.4844 | 0.360239 |
| 35 |  BhutanBTNSouthern Asia | 0.4591 | 0.491397 |
| 36 |  ZambiaZMBEastern Africa | 0.4188 | 0.380360 |
| 37 |  QatarQATWestern Asia | 0.3699 | 0.449344 |
| 38 |  HungaryHUNEastern Europe | 0.3112 | 0.422655 |
| 39 |  BahrainBHRWestern Asia | 0.2558 | 0.446258 |
| 40 |  Trinidad and TobagoTTOCaribbean | 0.2429 | 0.447260 |
| 41 |  South AfricaZAFSouthern Africa | 0.2211 | 0.416328 |
| 42 |  BrazilBRASouth America | 0.2138 | 0.369358 |
| 43 |  MalaysiaMYSSouth-eastern Asia | 0.2019 | 0.377025 |
| 44 |  Sri LankaLKASouthern Asia | 0.1997 | 0.421488 |
| 45 |  MongoliaMNGEastern Asia | 0.1857 | 0.453297 |
| 46 |  TunisiaTUNNorthern Africa | 0.1771 | 0.358612 |
| 47 |  FijiFJIMelanesia | 0.1650 | 0.399395 |
| 48 |  IndiaINDSouthern Asia | 0.1383 | 0.371273 |
| 49 |  MexicoMEXCentral America | 0.1247 | 0.356950 |
| 50 |  MauritiusMUSEastern Africa | 0.0949 | 0.445918 |
| 51 |  UruguayURYSouth America | 0.0691 | 0.364906 |
| 52 |  BangladeshBGDSouthern Asia | 0.0617 | 0.479210 |
| 53 |  BotswanaBWASouthern Africa | -0.0267 | 0.389907 |
| 54 |  PeruPERSouth America | -0.0444 | 0.388197 |
| 55 |  PakistanPAKSouthern Asia | -0.0502 | 0.384232 |
| 56 |  ColombiaCOLSouth America | -0.0717 | 0.366282 |
| 57 |  AlbaniaALBSouthern Europe | -0.0863 | 0.449092 |
| 58 |  United Arab EmiratesAREWestern Asia | -0.1017 | 0.451109 |
| 59 |  IraqIRQWestern Asia | -0.1486 | 0.442710 |
| 60 |  ArgentinaARGSouth America | -0.1626 | 0.372051 |
| 61 |  JamaicaJAMCaribbean | -0.1714 | 0.443083 |
| 62 |  TogoTGOWestern Africa | -0.1720 | 0.445206 |
| 63 |  Côte d’IvoireCIVWestern Africa | -0.1723 | 0.425173 |
| 64 |  IranIRNSouthern Asia | -0.1746 | 0.377455 |
| 65 |  CubaCUBCaribbean | -0.1757 | 0.421898 |
| 66 |  ThailandTHASouth-eastern Asia | -0.2184 | 0.361632 |
| 67 |  LibyaLBYNorthern Africa | -0.2276 | 0.422243 |
| 68 |  EcuadorECUSouth America | -0.2317 | 0.406364 |
| 69 |  Saudi ArabiaSAUWestern Asia | -0.2566 | 0.426779 |
| 70 |  MoroccoMARNorthern Africa | -0.2676 | 0.361025 |
| 71 |  EgyptEGYNorthern Africa | -0.2906 | 0.410004 |
| 72 |  MauritaniaMRTWestern Africa | -0.3012 | 0.450255 |
| 73 |  RwandaRWAEastern Africa | -0.3565 | 0.447458 |
| 74 |  CameroonCMRMiddle Africa | -0.3713 | 0.449344 |
| 75 |  TanzaniaTZAEastern Africa | -0.3836 | 0.417527 |
| 76 |  JordanJORWestern Asia | -0.4119 | 0.447427 |
| 77 |  CyprusCYPWestern Asia | -0.4168 | 0.394936 |
| 78 |  IndonesiaIDNSouth-eastern Asia | -0.4323 | 0.369724 |
| 79 |  GabonGABMiddle Africa | -0.4384 | 0.443533 |
| 80 |  SenegalSENWestern Africa | -0.4418 | 0.423826 |
| 81 |  HondurasHNDCentral America | -0.4429 | 0.381885 |
| 82 |  Burkina FasoBFAWestern Africa | -0.4471 | 0.450431 |
| 83 |  PhilippinesPHLSouth-eastern Asia | -0.4487 | 0.374574 |
| 84 |  SyriaSYRWestern Asia | -0.4823 | 0.376267 |
| 85 |  ChinaCHNEastern Asia | -0.4825 | 0.421264 |
| 86 |  El SalvadorSLVCentral America | -0.4830 | 0.380423 |
| 87 |  MalawiMWIEastern Africa | -0.4924 | 0.394831 |
| 88 |  MaliMLIWestern Africa | -0.5133 | 0.443031 |
| 89 |  AlgeriaDZANorthern Africa | -0.5167 | 0.445190 |
| 90 |  KenyaKENEastern Africa | -0.5364 | 0.375460 |
| 91 |  NigerNERWestern Africa | -0.5434 | 0.443751 |
| 92 |  North KoreaPRKEastern Asia | -0.5455 | 0.451183 |
| 93 |  GuatemalaGTMCentral America | -0.5572 | 0.353603 |
| 94 |  EswatiniSWZSouthern Africa | -0.5953 | 0.397920 |
| 95 |  Dominican RepublicDOMCaribbean | -0.5960 | 0.362827 |
| 96 |  Republic of the CongoCOGMiddle Africa | -0.6060 | 0.387460 |
| 97 |  ParaguayPRYSouth America | -0.6114 | 0.375098 |
| 98 |  NigeriaNGAWestern Africa | -0.6137 | 0.369563 |
| 99 |  CambodiaKHMSouth-eastern Asia | -0.6848 | 0.442865 |
| 100 |  GhanaGHAWestern Africa | -0.6943 | 0.389939 |
| 101 |  PanamaPANCentral America | -0.7164 | 0.448043 |
| 102 |  BeninBENWestern Africa | -0.7772 | 0.450560 |
| 103 |  GuineaGINWestern Africa | -0.7874 | 0.442900 |
| 104 |  LiberiaLBRWestern Africa | -0.7981 | 0.429055 |
| 105 |  Sierra LeoneSLEWestern Africa | -0.8811 | 0.442289 |
| 106 |  NepalNPLSouthern Asia | -0.9397 | 0.374217 |
| 107 |  GambiaGMBWestern Africa | -0.9598 | 0.391303 |
| 108 |  MadagascarMDGEastern Africa | -0.9626 | 0.370182 |
| 109 |  LaosLAOSouth-eastern Asia | -0.9934 | 0.450531 |
| 110 |  BoliviaBOLSouth America | -1.0030 | 0.424400 |
| 111 |  SomaliaSOMEastern Africa | -1.0150 | 0.386278 |
| 112 |  SudanSDNNorthern Africa | -1.0230 | 0.420709 |
| 113 |  AfghanistanAFGSouthern Asia | -1.0430 | 0.429967 |
| 114 |  ZimbabweZWEEastern Africa | -1.0450 | 0.456628 |
| 115 |  LebanonLBNWestern Asia | -1.0500 | 0.447079 |
| 116 |  UgandaUGAEastern Africa | -1.1140 | 0.418541 |
| 117 |  Central African RepublicCAFMiddle Africa | -1.1470 | 0.451744 |
| 118 |  ChadTCDMiddle Africa | -1.1620 | 0.387289 |
| 119 |  DR CongoCODMiddle Africa | -1.1640 | 0.372771 |
| 120 |  NicaraguaNICCentral America | -1.1720 | 0.377869 |
| 121 |  EthiopiaETHEastern Africa | -1.1870 | 0.405470 |
| 122 |  MyanmarMMRSouth-eastern Asia | -1.2540 | 0.430454 |
| 123 |  HaitiHTICaribbean | -1.2610 | 0.401486 |
| 124 |  BurundiBDIEastern Africa | -1.3600 | 0.445404 |
| 125 |  LesothoLSOSouthern Africa | -1.3870 | 0.384980 |
| 126 | Equatorial GuineaGNQMiddle Africa | -1.3930 | 0.455735 |
02In 1972
At either end
The 5 countries at each end of the headline, then the highest and lowest on each other measure.
Lowest
- 126Equatorial Guinea-1.3930
- 125Lesotho-1.3870
- 124Burundi-1.3600
- 123Haiti-1.2610
- 122Myanmar-1.2540
A higher value is the better result. The middle country reads -0.1735. “Shared” marks a value another country also holds.
Each measure’s ends
031971 → 1972
Since 1971
What changed between 1971 and this one: who joined or left, and how far the headline moved.
- +1 / −0countries joined / left
- 124values changed, of 125 in both
- 78 · 46rose · fell
- 1unchanged
Rose most
- Qatar-0.7677 → 0.3699+1.1376
- Oman-0.2401 → 0.7348+0.9749
- Kuwait0.7163 → 1.4980+0.7817
- South Africa-0.1885 → 0.2211+0.4096
- Nigeria-1.0180 → -0.6137+0.4043
Fell most
- Gambia-0.4070 → -0.9598−0.5528
- Philippines-0.0767 → -0.4487−0.3720
- Chile0.8748 → 0.5655−0.3093
- Nepal-0.6313 → -0.9397−0.3084
- Ghana-0.3905 → -0.6943−0.3038
+ BangladeshBoth 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 2020 release
Every year in this series comes from Jonathan K. Hanson (University of Michigan) and Rachel Sigman (Naval Postgraduate School)’s 2020 release, recalculated on one method. It can differ from what was first published for 1972.
The position is ours
Jonathan K. Hanson (University of Michigan) and Rachel Sigman (Naval Postgraduate School) publishes values only. The order here sorts the published values, and the page says so wherever it prints one.
Which end is better
A higher value is the better result.
Nothing missing
Every one of the 126 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
126 rows · 5.2 KB · UTF-8, opens in Excel
Opens with 11 lines of source notes; the table starts on row 13.
Download state-capacity-1972-nations-inquiry.csv - ↗
The publisher’s original
Jonathan K. Hanson (University of Michigan) and Rachel Sigman (Naval Postgraduate School)’s own file, on its own site.
4103950
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: CC0 1.0. No conditions at all. Crediting the publisher is still the courteous thing to do.
Cite this edition
Jonathan K. Hanson (University of Michigan) and Rachel Sigman (Naval Postgraduate School) (1972). State Capacity Index, 1972 [data set], describing 1972. As held by Nations Inquiry, https://nationsinquiry.com/datasets/state-capacity/1972
0656 held
Other years
‹ The year before
State Capacity Index, 1971125 countries
The year after ›
State Capacity Index, 1973126 countries
All of them
State Capacity Index: every year56 held, with the data dictionary, coverage and licence.
How it has moved, charted by country
07Questions
State Capacity Index, 1972: questions and answers
Which country has the highest state capacity in State Capacity Index, 1972?
Sweden, at 2.2300, of the 126 countries in the file.
What year does State Capacity Index, 1972 describe?
1972.
How many countries does State Capacity Index, 1972 cover?
126.
Where can I download State Capacity Index, 1972?
On this page, as a CSV file holding every value exactly as published, or from the publisher’s own site, linked below.
Is State Capacity Index, 1972 the newest?
No. The newest held here is State Capacity Index, 2015.