placestats

Voice and accountability vs. Women in a union

Holds up after adjusting for income

Across 189 countries, Voice and accountability and Women in a union rise and fall together at r = -0.45 (on a scale from −1 to +1, where 0 means no link). Comparing only countries with similar income (GDP per person) shrinks it to -0.30 (q = 0.048, allowing for the many pairs tested). Much of the first figure is that both measures rise with national income, but a weak negative link remains.

Comparing countries across the middle half of women in a union, 51.6% to 62.4% of women aged 15-49, voice and accountability is worse by 0.571 points at the top of that range than the bottom. Comparing only countries with similar national income, the gap is 0.347 points.

Link before adjusting (r)-0.451p = 7.6e-11 · 189 countries
After adjusting for national income-0.298p = 3.3e-5 · likely range [-0.42, -0.16]
p, allowing for regions0.009standard error 0.077 · 7 regions
Check for luck (q)0.048across 17,292 pairs

How to read these.r runs from −1 (one goes up as the other goes down) to +1 (they rise together), and 0 means no link. Adjusting for national income means comparing countries with the same GDP per person, so differences in wealth can’t explain the link. Income is used in percentage terms, since an extra $1,000 means more to a poor country than to a rich one. p is how likely a link this strong would be if there were really none. Below 0.05 means it is unlikely to be chance. Very small values are written in short form: 1.1e-32 means a decimal point followed by 31 zeros and then 11, so very close to zero. The likely range is where the true figure probably lies, and a range that crosses zero means the link could easily be chance. Countries in the same region tend to resemble each other, so the third figure allows for that, which gives a fairer p. The standard error is the typical size of the error in r. Finally, testing this many pairs means some will look strong by luck alone. A q below 0.05 means this link is unlikely to be one of those.

Voice and accountability · index (approx. -2.5 to 2.5)link with income +0.55 · moderate
Women in a union · % of women aged 15-49link with income -0.44 · moderate

“Link with income” is how closely each measure tracks GDP per person across countries, from −1 to +1.

Every country as a dot

Voice and accountability · index (approx. -2.5 to 2.5) →Women in a union · % of women aged 15-49 →-2.181.8233.6%81.3%Aruba: 1.11 index (approx. -2.5 to 2.5), 46.8% of women aged 15-49Afghanistan: -2.18 index (approx. -2.5 to 2.5), 65.9% of women aged 15-49Angola: -1 index (approx. -2.5 to 2.5), 57.2% of women aged 15-49Albania: 0.126 index (approx. -2.5 to 2.5), 65.7% of women aged 15-49United Arab Emirates: -1.07 index (approx. -2.5 to 2.5), 67.4% of women aged 15-49Argentina: 0.448 index (approx. -2.5 to 2.5), 49.7% of women aged 15-49Armenia: 0.121 index (approx. -2.5 to 2.5), 61.5% of women aged 15-49Antigua and Barbuda: 0.55 index (approx. -2.5 to 2.5), 33.8% of women aged 15-49Australia: 1.42 index (approx. -2.5 to 2.5), 54% of women aged 15-49Austria: 1.42 index (approx. -2.5 to 2.5), 56.6% of women aged 15-49Azerbaijan: -1.53 index (approx. -2.5 to 2.5), 59.7% of women aged 15-49Burundi: -1.54 index (approx. -2.5 to 2.5), 58.2% of women aged 15-49Belgium: 1.43 index (approx. -2.5 to 2.5), 52.4% of women aged 15-49Benin: -0.341 index (approx. -2.5 to 2.5), 65.7% of women aged 15-49Burkina Faso: -1.2 index (approx. -2.5 to 2.5), 74.3% of women aged 15-49Bangladesh: -0.721 index (approx. -2.5 to 2.5), 80.6% of women aged 15-49Bulgaria: 0.269 index (approx. -2.5 to 2.5), 56.6% of women aged 15-49Bahrain: -1.47 index (approx. -2.5 to 2.5), 56.4% of women aged 15-49Bahamas, The: 0.632 index (approx. -2.5 to 2.5), 38.7% of women aged 15-49Bosnia and Herzegovina: -0.256 index (approx. -2.5 to 2.5), 65.3% of women aged 15-49Belarus: -1.74 index (approx. -2.5 to 2.5), 62.4% of women aged 15-49Belize: 0.209 index (approx. -2.5 to 2.5), 58% of women aged 15-49Bermuda: 1.03 index (approx. -2.5 to 2.5), 49.7% of women aged 15-49Bolivia: -0.174 index (approx. -2.5 to 2.5), 50.2% of women aged 15-49Brazil: 0.422 index (approx. -2.5 to 2.5), 56.9% of women aged 15-49Barbados: 1.09 index (approx. -2.5 to 2.5), 57.2% of women aged 15-49Brunei Darussalam: -0.954 index (approx. -2.5 to 2.5), 54.2% of women aged 15-49Bhutan: 0.211 index (approx. -2.5 to 2.5), 62% of women aged 15-49Botswana: 0.396 index (approx. -2.5 to 2.5), 41.5% of women aged 15-49Central African Republic: -1.27 index (approx. -2.5 to 2.5), 65.4% of women aged 15-49Canada: 1.5 index (approx. -2.5 to 2.5), 51.6% of women aged 15-49Switzerland: 1.54 index (approx. -2.5 to 2.5), 57.5% of women aged 15-49Chile: 1.04 index (approx. -2.5 to 2.5), 48.5% of women aged 15-49China: -1.72 index (approx. -2.5 to 2.5), 69.5% of women aged 15-49Cote d'Ivoire: -0.543 index (approx. -2.5 to 2.5), 62.7% of women aged 15-49Cameroon: -1.26 index (approx. -2.5 to 2.5), 58.1% of women aged 15-49Congo, Dem. Rep.: -1.2 index (approx. -2.5 to 2.5), 58.2% of women aged 15-49Congo, Rep.: -1.28 index (approx. -2.5 to 2.5), 55.3% of women aged 15-49Colombia: 0.0426 index (approx. -2.5 to 2.5), 50.9% of women aged 15-49Comoros: -1.08 index (approx. -2.5 to 2.5), 63.1% of women aged 15-49Cabo Verde: 0.881 index (approx. -2.5 to 2.5), 45% of women aged 15-49Costa Rica: 1.04 index (approx. -2.5 to 2.5), 41.7% of women aged 15-49Cayman Islands: 1.11 index (approx. -2.5 to 2.5), 53.6% of women aged 15-49Cyprus: 0.9 index (approx. -2.5 to 2.5), 52.3% of women aged 15-49Czechia: 1.18 index (approx. -2.5 to 2.5), 53.7% of women aged 15-49Germany: 1.54 index (approx. -2.5 to 2.5), 54.4% of women aged 15-49Djibouti: -1.33 index (approx. -2.5 to 2.5), 46.5% of women aged 15-49Dominica: 0.5 index (approx. -2.5 to 2.5), 48.4% of women aged 15-49Denmark: 1.78 index (approx. -2.5 to 2.5), 54.3% of women aged 15-49Dominican Republic: 0.343 index (approx. -2.5 to 2.5), 53.2% of women aged 15-49Algeria: -1.09 index (approx. -2.5 to 2.5), 55.5% of women aged 15-49Ecuador: -0.0803 index (approx. -2.5 to 2.5), 45.3% of women aged 15-49Egypt, Arab Rep.: -1.64 index (approx. -2.5 to 2.5), 65.6% of women aged 15-49Spain: 1.12 index (approx. -2.5 to 2.5), 50.2% of women aged 15-49Estonia: 1.34 index (approx. -2.5 to 2.5), 54.1% of women aged 15-49Ethiopia: -1.28 index (approx. -2.5 to 2.5), 66.3% of women aged 15-49Finland: 1.69 index (approx. -2.5 to 2.5), 57.1% of women aged 15-49Fiji: 0.216 index (approx. -2.5 to 2.5), 59.2% of women aged 15-49France: 1.16 index (approx. -2.5 to 2.5), 54.9% of women aged 15-49Gabon: -0.826 index (approx. -2.5 to 2.5), 48.5% of women aged 15-49United Kingdom: 1.28 index (approx. -2.5 to 2.5), 49.7% of women aged 15-49Georgia: -0.359 index (approx. -2.5 to 2.5), 65.3% of women aged 15-49Ghana: 0.36 index (approx. -2.5 to 2.5), 53.4% of women aged 15-49Guinea: -1.18 index (approx. -2.5 to 2.5), 70.9% of women aged 15-49Gambia, The: -0.208 index (approx. -2.5 to 2.5), 63% of women aged 15-49Guinea-Bissau: -1.08 index (approx. -2.5 to 2.5), 59% of women aged 15-49Equatorial Guinea: -1.79 index (approx. -2.5 to 2.5), 61.1% of women aged 15-49Greece: 0.862 index (approx. -2.5 to 2.5), 52.4% of women aged 15-49Greenland: 1.42 index (approx. -2.5 to 2.5), 38.8% of women aged 15-49Guatemala: -0.337 index (approx. -2.5 to 2.5), 56.2% of women aged 15-49Guyana: 0.0628 index (approx. -2.5 to 2.5), 59% of women aged 15-49Hong Kong SAR, China: -0.523 index (approx. -2.5 to 2.5), 49.8% of women aged 15-49Honduras: -0.595 index (approx. -2.5 to 2.5), 54.4% of women aged 15-49Croatia: 0.738 index (approx. -2.5 to 2.5), 50.1% of women aged 15-49Haiti: -1.23 index (approx. -2.5 to 2.5), 53.6% of women aged 15-49Hungary: -0.0357 index (approx. -2.5 to 2.5), 52.3% of women aged 15-49Indonesia: -0.166 index (approx. -2.5 to 2.5), 70.3% of women aged 15-49India: -0.152 index (approx. -2.5 to 2.5), 72.3% of women aged 15-49Ireland: 1.6 index (approx. -2.5 to 2.5), 47.1% of women aged 15-49Iran, Islamic Rep.: -1.63 index (approx. -2.5 to 2.5), 69.6% of women aged 15-49Iraq: -0.822 index (approx. -2.5 to 2.5), 64.3% of women aged 15-49Iceland: 1.36 index (approx. -2.5 to 2.5), 48.5% of women aged 15-49Israel: 0.39 index (approx. -2.5 to 2.5), 50.4% of women aged 15-49Italy: 1.08 index (approx. -2.5 to 2.5), 51.8% of women aged 15-49Jamaica: 0.595 index (approx. -2.5 to 2.5), 35.2% of women aged 15-49Jordan: -0.746 index (approx. -2.5 to 2.5), 56% of women aged 15-49Japan: 1.11 index (approx. -2.5 to 2.5), 50% of women aged 15-49Kazakhstan: -0.963 index (approx. -2.5 to 2.5), 63.8% of women aged 15-49Kenya: -0.334 index (approx. -2.5 to 2.5), 53.2% of women aged 15-49Kyrgyz Republic: -0.845 index (approx. -2.5 to 2.5), 57.4% of women aged 15-49Cambodia: -1.65 index (approx. -2.5 to 2.5), 67.2% of women aged 15-49Kiribati: 1.03 index (approx. -2.5 to 2.5), 67.4% of women aged 15-49Korea, Rep.: 0.876 index (approx. -2.5 to 2.5), 49.8% of women aged 15-49Kuwait: -0.919 index (approx. -2.5 to 2.5), 59.5% of women aged 15-49Lao PDR: -1.64 index (approx. -2.5 to 2.5), 61.6% of women aged 15-49Lebanon: -0.593 index (approx. -2.5 to 2.5), 52.4% of women aged 15-49Liberia: 0.0171 index (approx. -2.5 to 2.5), 51.4% of women aged 15-49Libya: -1.44 index (approx. -2.5 to 2.5), 43.8% of women aged 15-49St. Lucia: 0.736 index (approx. -2.5 to 2.5), 53.3% of women aged 15-49Sri Lanka: 0.00776 index (approx. -2.5 to 2.5), 66.3% of women aged 15-49Lesotho: 0.101 index (approx. -2.5 to 2.5), 46.9% of women aged 15-49Lithuania: 1.18 index (approx. -2.5 to 2.5), 51.8% of women aged 15-49Luxembourg: 1.6 index (approx. -2.5 to 2.5), 51.1% of women aged 15-49Latvia: 1.12 index (approx. -2.5 to 2.5), 49.6% of women aged 15-49Macao SAR, China: -0.42 index (approx. -2.5 to 2.5), 54.6% of women aged 15-49Morocco: -0.692 index (approx. -2.5 to 2.5), 58% of women aged 15-49Moldova: 0.263 index (approx. -2.5 to 2.5), 68.7% of women aged 15-49Madagascar: -0.648 index (approx. -2.5 to 2.5), 62.3% of women aged 15-49Maldives: -0.458 index (approx. -2.5 to 2.5), 68.4% of women aged 15-49Mexico: -0.282 index (approx. -2.5 to 2.5), 53% of women aged 15-49North Macedonia: 0.194 index (approx. -2.5 to 2.5), 66.1% of women aged 15-49Mali: -1.25 index (approx. -2.5 to 2.5), 79.2% of women aged 15-49Malta: 0.98 index (approx. -2.5 to 2.5), 52% of women aged 15-49Myanmar: -2.09 index (approx. -2.5 to 2.5), 58% of women aged 15-49Montenegro: 0.398 index (approx. -2.5 to 2.5), 57.6% of women aged 15-49Mongolia: 0.235 index (approx. -2.5 to 2.5), 60.2% of women aged 15-49Mozambique: -0.901 index (approx. -2.5 to 2.5), 64.8% of women aged 15-49Mauritania: -0.902 index (approx. -2.5 to 2.5), 66.1% of women aged 15-49Mauritius: 0.606 index (approx. -2.5 to 2.5), 51.6% of women aged 15-49Malawi: -0.00872 index (approx. -2.5 to 2.5), 62.1% of women aged 15-49Malaysia: -0.106 index (approx. -2.5 to 2.5), 57.1% of women aged 15-49Namibia: 0.374 index (approx. -2.5 to 2.5), 33.7% of women aged 15-49Niger: -1.14 index (approx. -2.5 to 2.5), 81.3% of women aged 15-49Nigeria: -0.661 index (approx. -2.5 to 2.5), 67.6% of women aged 15-49Nicaragua: -1.76 index (approx. -2.5 to 2.5), 56% of women aged 15-49Netherlands: 1.59 index (approx. -2.5 to 2.5), 53.5% of women aged 15-49Norway: 1.82 index (approx. -2.5 to 2.5), 57.4% of women aged 15-49Nepal: -0.168 index (approx. -2.5 to 2.5), 75.1% of women aged 15-49Naoero: 0.54 index (approx. -2.5 to 2.5), 57.7% of women aged 15-49New Zealand: 1.61 index (approx. -2.5 to 2.5), 57.7% of women aged 15-49Oman: -1.11 index (approx. -2.5 to 2.5), 55.8% of women aged 15-49Pakistan: -1.13 index (approx. -2.5 to 2.5), 63.4% of women aged 15-49Panama: 0.478 index (approx. -2.5 to 2.5), 53.2% of women aged 15-49Peru: -0.0542 index (approx. -2.5 to 2.5), 52.7% of women aged 15-49Philippines: -0.256 index (approx. -2.5 to 2.5), 55.6% of women aged 15-49Palau: 1.01 index (approx. -2.5 to 2.5), 48.3% of women aged 15-49Papua New Guinea: -0.236 index (approx. -2.5 to 2.5), 66.9% of women aged 15-49Poland: 0.819 index (approx. -2.5 to 2.5), 58.6% of women aged 15-49Puerto Rico (US): 0.391 index (approx. -2.5 to 2.5), 40.9% of women aged 15-49Portugal: 1.27 index (approx. -2.5 to 2.5), 50.6% of women aged 15-49Paraguay: -0.135 index (approx. -2.5 to 2.5), 54.8% of women aged 15-49West Bank and Gaza: -1.19 index (approx. -2.5 to 2.5), 62.4% of women aged 15-49Qatar: -1.3 index (approx. -2.5 to 2.5), 64.6% of women aged 15-49Romania: 0.441 index (approx. -2.5 to 2.5), 56% of women aged 15-49Russian Federation: -1.44 index (approx. -2.5 to 2.5), 57.6% of women aged 15-49Rwanda: -0.762 index (approx. -2.5 to 2.5), 49.9% of women aged 15-49Saudi Arabia: -1.73 index (approx. -2.5 to 2.5), 55.3% of women aged 15-49Sudan: -1.99 index (approx. -2.5 to 2.5), 62.6% of women aged 15-49Senegal: 0.161 index (approx. -2.5 to 2.5), 65.5% of women aged 15-49Singapore: -0.173 index (approx. -2.5 to 2.5), 43.8% of women aged 15-49Solomon Islands: 0.622 index (approx. -2.5 to 2.5), 64.5% of women aged 15-49Sierra Leone: -0.466 index (approx. -2.5 to 2.5), 61.5% of women aged 15-49El Salvador: -0.748 index (approx. -2.5 to 2.5), 50.7% of women aged 15-49San Marino: 1.24 index (approx. -2.5 to 2.5), 55.7% of women aged 15-49Somalia, Fed. Rep.: -1.59 index (approx. -2.5 to 2.5), 62.4% of women aged 15-49Serbia: -0.414 index (approx. -2.5 to 2.5), 54.3% of women aged 15-49Sao Tome and Principe: 0.195 index (approx. -2.5 to 2.5), 53.1% of women aged 15-49Suriname: 0.238 index (approx. -2.5 to 2.5), 52.2% of women aged 15-49Slovak Republic: 0.848 index (approx. -2.5 to 2.5), 49.2% of women aged 15-49Slovenia: 1.1 index (approx. -2.5 to 2.5), 47.2% of women aged 15-49Sweden: 1.63 index (approx. -2.5 to 2.5), 53.6% of women aged 15-49Eswatini: -1.45 index (approx. -2.5 to 2.5), 36.4% of women aged 15-49Seychelles: 0.678 index (approx. -2.5 to 2.5), 44.6% of women aged 15-49Chad: -1.45 index (approx. -2.5 to 2.5), 72.6% of women aged 15-49Togo: -1.04 index (approx. -2.5 to 2.5), 63.7% of women aged 15-49Thailand: -0.517 index (approx. -2.5 to 2.5), 52.4% of women aged 15-49Tajikistan: -1.75 index (approx. -2.5 to 2.5), 68% of women aged 15-49Turkmenistan: -2.01 index (approx. -2.5 to 2.5), 65% of women aged 15-49Timor-Leste: 0.433 index (approx. -2.5 to 2.5), 56.4% of women aged 15-49Tonga: 0.806 index (approx. -2.5 to 2.5), 50.7% of women aged 15-49Trinidad and Tobago: 0.546 index (approx. -2.5 to 2.5), 42.7% of women aged 15-49Tunisia: -0.65 index (approx. -2.5 to 2.5), 52.5% of women aged 15-49Turkiye: -1.11 index (approx. -2.5 to 2.5), 59.6% of women aged 15-49Tuvalu: 1.26 index (approx. -2.5 to 2.5), 64.2% of women aged 15-49Tanzania: -0.786 index (approx. -2.5 to 2.5), 59.2% of women aged 15-49Uganda: -1.01 index (approx. -2.5 to 2.5), 57.8% of women aged 15-49Ukraine: -0.0835 index (approx. -2.5 to 2.5), 61.9% of women aged 15-49Uruguay: 1.21 index (approx. -2.5 to 2.5), 53.6% of women aged 15-49United States: 0.645 index (approx. -2.5 to 2.5), 52.1% of women aged 15-49Uzbekistan: -1.25 index (approx. -2.5 to 2.5), 74.7% of women aged 15-49St. Vincent and the Grenadines: 0.613 index (approx. -2.5 to 2.5), 51.1% of women aged 15-49Virgin Islands (U.S.): 0.809 index (approx. -2.5 to 2.5), 48.5% of women aged 15-49Viet Nam: -1.27 index (approx. -2.5 to 2.5), 72.8% of women aged 15-49Vanuatu: 0.547 index (approx. -2.5 to 2.5), 68.6% of women aged 15-49Samoa: 0.916 index (approx. -2.5 to 2.5), 62% of women aged 15-49Kosovo: 0.0778 index (approx. -2.5 to 2.5), 61.6% of women aged 15-49South Africa: 0.681 index (approx. -2.5 to 2.5), 33.6% of women aged 15-49Zambia: -0.306 index (approx. -2.5 to 2.5), 55.7% of women aged 15-49Zimbabwe: -1.3 index (approx. -2.5 to 2.5), 62.2% of women aged 15-49ATGBGDDJIGRLKIRLBYMLINERSWZTUVZAF

best-fit line line after adjusting

Four ways to measure the link

MethodrpCountries
Standard (Pearson), not adjusted-0.4517.6e-11189
By rank (Spearman), not adjusted-0.4992.8e-13189
Standard (Pearson), adjusted for national income-0.2983.3e-5189
By rank (Spearman), adjusted for national income-0.3401.8e-6189

The rank version uses only each country’s place in line, from lowest to highest, so a few extreme countries count for less. The adjusted and unadjusted versions use the same 189 countries: those that report both measures and GDP per person. So the gap between them comes from the adjustment, not from a change in which countries are counted. Drop in the size of r after adjusting: +0.153 (a minus sign means it grew).

How solid is it?

Leaving out one country at a time, r ranges from -0.326 (without SWZ) to -0.282 (without QAT). The bar above shows that range on a scale from −1 to +1, with the solid line at the full result. The single country that moves r most: SWZ (-0.028).

Within each region

Countries are not separate, unrelated cases, and neighbors share a lot. A link that holds inside each region is far more believable than one that shows up only when comparing regions.

nr
East Asia & Pacific29-0.33
Europe & Central Asia51-0.28
Latin America & Caribbean33-0.28
Middle East, North Africa, Afghanistan & Pakistan21-0.39
Sub-Saharan Africa46-0.40

By income third

If the link shows up only in the richest third of countries, it is a feature of rich countries, not a general pattern.

nr
Poorest third63-0.18
Middle third63-0.42
Richest third63-0.39

By largest religious group

Countries grouped by a label they share, such as main religion, rather than by a number. Groups of fewer than twelve countries are not shown. These groups differ in income, region and history all at once. So a gap between them is a place to start asking questions, not an answer.

nr
Christians109-0.09
Muslims49+0.03

By last European coloniser

Countries grouped by a label they share, such as main religion, rather than by a number. Groups of fewer than twelve countries are not shown. These groups differ in income, region and history all at once. So a gap between them is a place to start asking questions, not an answer.

nr
France24-0.13
Never a European colony21-0.48
Spain19-0.55
United Kingdom61-0.24

By official ideology

Countries grouped by a label they share, such as main religion, rather than by a number. Groups of fewer than twelve countries are not shown. These groups differ in income, region and history all at once. So a gap between them is a place to start asking questions, not an answer.

nr
Nationalist24-0.23
No strong official ideology117-0.19

By party system

Countries grouped by a label they share, such as main religion, rather than by a number. Groups of fewer than twelve countries are not shown. These groups differ in income, region and history all at once. So a gap between them is a place to start asking questions, not an answer.

nr
A few parties banned26-0.10
No parties banned122-0.18

Without outliers (countries far outside the middle half of countries on either measure, by more than one and a half times the width of that middle half): r = -0.281 after dropping 7 countries.

Two series, one country

Both measures over the years for one country you pick. The two charts are stacked so they share only the years along the bottom.

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Over time, within countries

Everything above compares countries with each other at one moment. This section compares each country only with itself over 29years. So a link here can’t come from anything about a country that stays the same, such as its history, geography, institutions or culture.

Within countries over time, there is no link that is clearly more than chance (r = +0.000, comparing each country only with itself over the years, and each year only with the same year elsewhere). Whatever the cross-country picture shows, countries whose voice and accountability moved did not tend to see their women in a union move with it.

Across countries (adjusted)-0.298for comparison
Within countries-0.151each country vs itself
…and vs the same year elsewhere+0.000q = 0.998 · 200 countries
Year-on-year changes-0.003q = 0.932
Read with care.
  • Almost all of this indicator's variation is between countries, not within them, so the within-country estimate rests on a small part of the data.

4,233 country-years (one country in one year), 200 countries, 1996–2024, about 21 years each on average. Share of the variation that happens within countries over time: 6% for Voice and accountability, 5% for Women in a union. The margins of error allow for each country appearing many times, and for each year’s value being close to the year before.

Year-to-year changes are a cautious test, not a final answer. Looking only at changes from one year to the next removes each country’s own trends. But it also makes measurement mistakes louder, which pulls the results toward zero. A near-zero result here is weak evidence of no link, not proof.

With one measure years behind the other

0.10−0.1-100+10years Women in a union trails Voice and accountability →lag -10: r = -0.073 (n = 4,910)lag -9: r = -0.066 (n = 4,882)lag -8: r = -0.062 (n = 5,048)lag -7: r = -0.054 (n = 5,010)lag -6: r = -0.051 (n = 5,147)lag -5: r = -0.042 (n = 5,066)lag -4: r = -0.033 (n = 4,958)lag -3: r = -0.023 (n = 4,817)lag -2: r = -0.017 (n = 4,628)lag -1: r = -0.008 (n = 4,432)lag +0: r = 0.000 (n = 4,233)lag +1: r = 0.008 (n = 4,034)lag +2: r = 0.014 (n = 3,835)lag +3: r = 0.020 (n = 3,637)lag +4: r = 0.023 (n = 3,437)lag +5: r = 0.026 (n = 3,233)lag +6: r = 0.025 (n = 3,034)lag +7: r = 0.019 (n = 2,831)lag +8: r = 0.005 (n = 2,617)lag +9: r = -0.010 (n = 2,391)lag +10: r = -0.030 (n = 2,185)

Same year (lag 0): +0.000. A peak away from zero does not show which comes first. These series change slowly — this year’s value is close to last year’s. That makes the curve smooth and nearly symmetric, whatever produced the data. Even a sharp peak at one lag (a gap of some years) would not prove that one measure changes the other.

This curve peaks at the edge of the window (lag -10), so it is still drifting where the search stops. That pattern usually reflects a slow trend left over in the data, not a link with real timing. The peak value should not be read as the “true” link at the right lag.

The data


index (approx. -2.5 to 2.5)

% of women aged 15-49
Years
Norway NOR1.8257.4%2025, 2021
Denmark DNK1.7854.3%2025, 2024
Finland FIN1.6957.1%2025, 2023
Sweden SWE1.6353.6%2025, 2023
New Zealand NZL1.6157.7%2025, 2018
Ireland IRL1.647.1%2025, 2022
Luxembourg LUX1.651.1%2025, 2022
Netherlands NLD1.5953.5%2025, 2023
Germany DEU1.5454.4%2025, 2023
Switzerland CHE1.5457.5%2025, 2022
Canada CAN1.551.6%2025, 2021
Belgium BEL1.4352.4%2025, 2021
Greenland GRL1.4238.8%2025, 2022
Austria AUT1.4256.6%2025, 2013
Australia AUS1.4254%2025, 2021

Kaufmann, D. and A. Kraay, Worldwide Governance Indicators, World Bank
United Nations, Department of Economic and Social Affairs, Population Division: World Population Prospects 2024 and Estimates and Projections of Women of Reproductive Age Who Are Married or in a Union

Sources

Voice and accountability

Voice and Accountability (estimate)

World Bank · CC BY 4.0 · updated annual

Women in a union

Share of women aged 15 to 49 who are married or in a union

United Nations Department of Economic and Social Affairs, Population Division · via Our World in Data · CC BY 3.0 IGO · updated biennial

A snapshot of how many women are in a union at one time, not a count of new unions each year. It counts couples living together as a union, which the OECD marriage rate does not. So the two can disagree without either being wrong, and their pair is worth reading for exactly that. The UN estimates it with a statistical model from survey and census data, for over two hundred countries. No "better" direction is set.

How this was computed

Data used: most recent value in 2010-2025; values come from 2010–2025. To adjust for income, each measure is first predicted from GDP per person (in percentage terms, on a log scale) with a straight-line fit. Only what is left over is then compared. This is called a partial correlation. The line is drawn the standard way (ordinary least squares), which picks the line that comes closest to all the countries at once. The error margins allow for countries in the same region resembling each other, using 7 World Bank regions. The q-value corrects for testing all 17,292 pairs at once, using the Benjamini–Hochberg method. Underlying data last updated V-Dem v16; V-Party v2. How the country data works · explore Voice and accountability and Women in a union

This page shows that two measures go together. It does not show that Voice and accountability changes Women in a union, or the reverse. These figures also describe countries, not individual people. See the ecological fallacy.

More links with Voice and accountability or Women in a union