Unemployment Among Women with Children Under 6 years by Race, Ethnicity and Immigration Origin
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Unemployment Among Women with Children Under 6 years
Common Questions
What are the top races in the United States with the lowest unemployment rate among women with children under the age of 6?
The top races in the United States with the lowest unemployment rate among women with children under the age of 6 are:
#1
Asians
6.7%
(100.0/100)
#2
Hawaiians
8.2%
(1.8/100)
#3
Whites/Caucasians
8.4%
(0.3/100)
What are the top ancestries in the United States with the lowest unemployment rate among women with children under the age of 6?
The top ancestries in the United States with the lowest unemployment rate among women with children under the age of 6 are:
#1
Okinawans
5.8%
(100.0/100)
#2
Cambodians
5.9%
(100.0/100)
#3
Cape Verdeans
5.9%
(100.0/100)
#4
Taiwanese
6.1%
(100.0/100)
#5
Filipinos
6.1%
(100.0/100)
What are the top immigration origins in the United States with the lowest unemployment rate among women with children under the age of 6?
The top immigration origins in the United States with the lowest unemployment rate among women with children under the age of 6 are:
#1
Immigrants from Cabo Verde
5.4%
(100.0/100)
#2
Immigrants from Hong Kong
5.8%
(100.0/100)
#3
Immigrants from Taiwan
6.0%
(100.0/100)
#4
Immigrants from India
6.1%
(100.0/100)
#5
Immigrants from China
6.2%
(100.0/100)
Top 10 Demographics by Unemployment Among Women with Children Under 6 years
The best off demographics with the lowest unemployment rate among women with children under the age of 6 in the United States are Immigrants from Cabo Verde (5.4%, 100.0/100), Immigrants from Hong Kong (5.8%, 100.0/100), Okinawan (5.8%, 100.0/100), Cambodian (5.9%, 100.0/100), and Cape Verdean (5.9%, 100.0/100).
Bottom 10 Demographics by Unemployment Among Women with Children Under 6 years
The worst off demographics with the highest unemployment rate among women with children under the age of 6 in the United States are Yup'ik (21.1%, 0.0/100), Arapaho (19.0%, 0.0/100), Inupiat (17.7%, 0.0/100), Hopi (16.8%, 0.0/100), and Crow (14.6%, 0.0/100).
Unemployment Among Women with Children Under 6 years by Race
Top demographics by Unemployment Among Women with Children Under 6 years within the race category in the United States are Asians (6.7%, 100.0/100), Hawaiians (8.2%, 1.8/100), and Whites/Caucasians (8.4%, 0.3/100).
| Race | Rating | Rank | Unemployment Among Women with Children Under 6 years |
| Asian | 100.0 /100 | #40 | Exceptional 6.7% |
| Black/African American | 0.0 /100 | #329 | Tragic 10.3% |
| Hawaiian | 1.8 /100 | #243 | Tragic 8.2% |
| Hispanic or Latino | 0.0 /100 | #302 | Tragic 9.0% |
| Native/Alaskan | 0.0 /100 | #333 | Tragic 11.5% |
| White/Caucasian | 0.3 /100 | #260 | Tragic 8.4% |
Unemployment Among Women with Children Under 6 years by Ancestry
Top 20 Ancestries by Unemployment Among Women with Children Under 6 years
Top demographics by Unemployment Among Women with Children Under 6 years within the ancestry category in the United States are Okinawans (5.8%, 100.0/100), Cambodians (5.9%, 100.0/100), Cape Verdeans (5.9%, 100.0/100), Taiwanese (6.1%, 100.0/100), and Filipinos (6.1%, 100.0/100).
| Ancestry | Rating | Rank | Unemployment Among Women with Children Under 6 years |
| Afghan | 99.4 /100 | #71 | Exceptional 7.0% |
| African | 0.0 /100 | #309 | Tragic 9.2% |
| Alaska Native | 0.0 /100 | #322 | Tragic 9.6% |
| Alaskan Athabascan | 0.0 /100 | #305 | Tragic 9.1% |
| Albanian | 98.0 /100 | #92 | Exceptional 7.2% |
| Aleut | 76.0 /100 | #150 | Good 7.5% |
| Alsatian | 98.4 /100 | #87 | Exceptional 7.1% |
| American | 0.0 /100 | #313 | Tragic 9.3% |
| Apache | 0.0 /100 | #334 | Tragic 12.3% |
| Arab | 9.4 /100 | #219 | Tragic 7.9% |
| Arapaho | 0.0 /100 | #346 | Tragic 19.0% |
| Argentinean | 96.2 /100 | #114 | Exceptional 7.2% |
| Armenian | 95.9 /100 | #116 | Exceptional 7.2% |
| Assyrian/Chaldean/Syriac | 100.0 /100 | #18 | Exceptional 6.5% |
| Australian | 96.9 /100 | #109 | Exceptional 7.2% |
| Austrian | 46.0 /100 | #177 | Average 7.7% |
| Bahamian | 0.0 /100 | #288 | Tragic 8.7% |
| Bangladeshi | 74.8 /100 | #152 | Good 7.5% |
| Barbadian | 0.4 /100 | #259 | Tragic 8.3% |
| Basque | 24.7 /100 | #201 | Fair 7.8% |
| Belgian | 63.5 /100 | #166 | Good 7.6% |
| Belizean | 0.2 /100 | #267 | Tragic 8.4% |
| Bermudan | 0.0 /100 | #282 | Tragic 8.7% |
| Bhutanese | 99.9 /100 | #43 | Exceptional 6.7% |
| Blackfeet | 0.0 /100 | #284 | Tragic 8.7% |
| Bolivian | 70.8 /100 | #160 | Good 7.5% |
| Brazilian | 43.9 /100 | #181 | Average 7.7% |
| British | 66.3 /100 | #163 | Good 7.6% |
| British West Indian | 0.5 /100 | #257 | Tragic 8.3% |
| Bulgarian | 100.0 /100 | #23 | Exceptional 6.5% |
| Burmese | 100.0 /100 | #21 | Exceptional 6.5% |
| Cajun | 0.0 /100 | #310 | Tragic 9.2% |
| Cambodian | 100.0 /100 | #4 | Exceptional 5.9% |
| Canadian | 20.6 /100 | #207 | Fair 7.8% |
| Cape Verdean | 100.0 /100 | #5 | Exceptional 5.9% |
| Carpatho Rusyn | 7.8 /100 | #223 | Tragic 8.0% |
| Celtic | 0.6 /100 | #256 | Tragic 8.3% |
| Central American | 1.4 /100 | #246 | Tragic 8.2% |
| Central American Indian | 0.0 /100 | #321 | Tragic 9.6% |
| Cherokee | 0.0 /100 | #315 | Tragic 9.3% |
| Cheyenne | 0.0 /100 | #292 | Tragic 8.8% |
| Chickasaw | 0.0 /100 | #301 | Tragic 9.0% |
| Chilean | 97.4 /100 | #101 | Exceptional 7.2% |
| Chinese | 99.9 /100 | #53 | Exceptional 6.8% |
| Chippewa | 0.0 /100 | #337 | Tragic 13.3% |
| Choctaw | 0.0 /100 | #325 | Tragic 9.8% |
| Colombian | 76.1 /100 | #149 | Good 7.5% |
| Colville | 0.0 /100 | #331 | Tragic 11.2% |
| Comanche | 4.3 /100 | #235 | Tragic 8.0% |
| Costa Rican | 17.6 /100 | #209 | Poor 7.8% |
| Cree | 51.6 /100 | #173 | Average 7.6% |
| Creek | 0.0 /100 | #300 | Tragic 8.9% |
| Croatian | 71.9 /100 | #158 | Good 7.5% |
| Crow | 0.0 /100 | #343 | Tragic 14.6% |
| Cuban | 99.4 /100 | #72 | Exceptional 7.0% |
| Cypriot | 100.0 /100 | #26 | Exceptional 6.5% |
| Czech | 59.8 /100 | #170 | Average 7.6% |
| Czechoslovakian | 38.4 /100 | #188 | Fair 7.7% |
| Danish | 98.2 /100 | #91 | Exceptional 7.1% |
| Delaware | 0.0 /100 | #326 | Tragic 9.8% |
| Dominican | 0.0 /100 | #307 | Tragic 9.1% |
| Dutch | 2.5 /100 | #242 | Tragic 8.1% |
| Dutch West Indian | 0.0 /100 | #317 | Tragic 9.5% |
| Eastern European | 96.9 /100 | #108 | Exceptional 7.2% |
| Ecuadorian | 11.2 /100 | #215 | Poor 7.9% |
| Egyptian | 98.7 /100 | #83 | Exceptional 7.1% |
| English | 7.2 /100 | #224 | Tragic 8.0% |
| Estonian | 99.0 /100 | #76 | Exceptional 7.1% |
| Ethiopian | 99.9 /100 | #51 | Exceptional 6.8% |
| European | 79.1 /100 | #144 | Good 7.5% |
| Fijian | 0.0 /100 | #314 | Tragic 9.3% |
| Filipino | 100.0 /100 | #9 | Exceptional 6.1% |
| Finnish | 5.3 /100 | #230 | Tragic 8.0% |
| French | 1.7 /100 | #244 | Tragic 8.2% |
| French American Indian | 0.0 /100 | #311 | Tragic 9.2% |
| French Canadian | 0.3 /100 | #265 | Tragic 8.4% |
| German | 7.0 /100 | #225 | Tragic 8.0% |
| German Russian | 1.2 /100 | #247 | Tragic 8.2% |
| Ghanaian | 1.0 /100 | #252 | Tragic 8.2% |
| Greek | 82.6 /100 | #141 | Excellent 7.4% |
| Guamanian/Chamorro | 25.5 /100 | #200 | Fair 7.8% |
| Guatemalan | 0.0 /100 | #281 | Tragic 8.7% |
| Guyanese | 1.0 /100 | #251 | Tragic 8.2% |
| Haitian | 0.0 /100 | #277 | Tragic 8.6% |
| Hmong | 100.0 /100 | #38 | Exceptional 6.7% |
| Honduran | 0.3 /100 | #264 | Tragic 8.4% |
| Hopi | 0.0 /100 | #344 | Tragic 16.8% |
| Houma | 0.0 /100 | #316 | Tragic 9.4% |
| Hungarian | 21.2 /100 | #206 | Fair 7.8% |
| Icelander | 99.8 /100 | #57 | Exceptional 6.9% |
| Indian (Asian) | 100.0 /100 | #11 | Exceptional 6.3% |
| Indonesian | 40.5 /100 | #184 | Average 7.7% |
| Inupiat | 0.0 /100 | #345 | Tragic 17.7% |
| Iranian | 99.9 /100 | #44 | Exceptional 6.7% |
| Iraqi | 93.9 /100 | #120 | Exceptional 7.3% |
| Irish | 2.7 /100 | #239 | Tragic 8.1% |
| Iroquois | 0.0 /100 | #289 | Tragic 8.7% |
| Israeli | 96.5 /100 | #112 | Exceptional 7.2% |
| Italian | 30.4 /100 | #197 | Fair 7.7% |
| Jamaican | 0.0 /100 | #291 | Tragic 8.8% |
| Japanese | 78.9 /100 | #146 | Good 7.5% |
| Jordanian | 91.5 /100 | #127 | Exceptional 7.3% |
| Kenyan | 62.5 /100 | #167 | Good 7.6% |
| Kiowa | 4.4 /100 | #234 | Tragic 8.0% |
| Korean | 81.3 /100 | #143 | Excellent 7.5% |
| Laotian | 100.0 /100 | #24 | Exceptional 6.5% |
| Latvian | 99.9 /100 | #46 | Exceptional 6.8% |
| Lebanese | 22.2 /100 | #204 | Fair 7.8% |
| Liberian | 2.6 /100 | #241 | Tragic 8.1% |
| Lithuanian | 30.0 /100 | #198 | Fair 7.8% |
| Lumbee | 0.0 /100 | #341 | Tragic 13.8% |
| Luxembourger | 100.0 /100 | #36 | Exceptional 6.6% |
| Macedonian | 97.7 /100 | #94 | Exceptional 7.2% |
| Malaysian | 31.1 /100 | #195 | Fair 7.7% |
| Maltese | 99.7 /100 | #63 | Exceptional 6.9% |
| Marshallese | 0.0 /100 | #319 | Tragic 9.6% |
| Menominee | 0.0 /100 | #287 | Tragic 8.7% |
| Mexican | 0.0 /100 | #297 | Tragic 8.9% |
| Mexican American Indian | 0.1 /100 | #272 | Tragic 8.5% |
| Mongolian | 100.0 /100 | #19 | Exceptional 6.5% |
| Moroccan | 9.7 /100 | #218 | Tragic 7.9% |
| Native Hawaiian | 1.7 /100 | #245 | Tragic 8.2% |
| Navajo | 0.0 /100 | #339 | Tragic 13.5% |
| Nepalese | 43.5 /100 | #182 | Average 7.7% |
| New Zealander | 97.8 /100 | #93 | Exceptional 7.2% |
| Nicaraguan | 96.3 /100 | #113 | Exceptional 7.2% |
| Nigerian | 1.1 /100 | #250 | Tragic 8.2% |
| Northern European | 74.3 /100 | #154 | Good 7.5% |
| Norwegian | 96.7 /100 | #111 | Exceptional 7.2% |
| Okinawan | 100.0 /100 | #3 | Exceptional 5.8% |
| Osage | 0.0 /100 | #318 | Tragic 9.5% |
| Ottawa | 0.0 /100 | #327 | Tragic 9.9% |
| Paiute | 0.0 /100 | #324 | Tragic 9.7% |
| Pakistani | 92.2 /100 | #125 | Exceptional 7.3% |
| Palestinian | 96.8 /100 | #110 | Exceptional 7.2% |
| Panamanian | 49.6 /100 | #175 | Average 7.6% |
| Paraguayan | 99.4 /100 | #68 | Exceptional 7.0% |
| Pennsylvania German | 0.0 /100 | #330 | Tragic 10.8% |
| Peruvian | 72.3 /100 | #157 | Good 7.5% |
| Pima | 0.0 /100 | #338 | Tragic 13.4% |
| Polish | 16.0 /100 | #210 | Poor 7.9% |
| Portuguese | 6.2 /100 | #227 | Tragic 8.0% |
| Potawatomi | 0.0 /100 | #320 | Tragic 9.6% |
| Pueblo | 0.0 /100 | #306 | Tragic 9.1% |
| Puerto Rican | 0.0 /100 | #335 | Tragic 12.5% |
| Puget Sound Salish | 47.7 /100 | #176 | Average 7.7% |
| Romanian | 97.7 /100 | #95 | Exceptional 7.2% |
| Russian | 97.5 /100 | #98 | Exceptional 7.2% |
| Salvadoran | 5.5 /100 | #229 | Tragic 8.0% |
| Samoan | 8.4 /100 | #222 | Tragic 7.9% |
| Scandinavian | 83.0 /100 | #140 | Excellent 7.4% |
| Scotch-Irish | 0.3 /100 | #263 | Tragic 8.4% |
| Scottish | 11.4 /100 | #213 | Poor 7.9% |
| Seminole | 0.0 /100 | #286 | Tragic 8.7% |
| Senegalese | 6.2 /100 | #226 | Tragic 8.0% |
| Serbian | 94.5 /100 | #118 | Exceptional 7.3% |
| Shoshone | 0.0 /100 | #336 | Tragic 13.2% |
| Sierra Leonean | 42.9 /100 | #183 | Average 7.7% |
| Sioux | 0.0 /100 | #332 | Tragic 11.5% |
| Slavic | 32.4 /100 | #193 | Fair 7.7% |
| Slovak | 0.1 /100 | #273 | Tragic 8.5% |
| Slovene | 89.2 /100 | #129 | Excellent 7.4% |
| Somali | 99.7 /100 | #62 | Exceptional 6.9% |
| South African | 94.1 /100 | #119 | Exceptional 7.3% |
| South American | 74.1 /100 | #155 | Good 7.5% |
| South American Indian | 9.3 /100 | #220 | Tragic 7.9% |
| Soviet Union | 100.0 /100 | #25 | Exceptional 6.5% |
| Spaniard | 23.3 /100 | #203 | Fair 7.8% |
| Spanish | 11.3 /100 | #214 | Poor 7.9% |
| Spanish American | 39.7 /100 | #185 | Fair 7.7% |
| Spanish American Indian | 0.0 /100 | #283 | Tragic 8.7% |
| Sri Lankan | 100.0 /100 | #37 | Exceptional 6.6% |
| Subsaharan African | 0.2 /100 | #268 | Tragic 8.4% |
| Sudanese | 23.5 /100 | #202 | Fair 7.8% |
| Swedish | 88.4 /100 | #130 | Excellent 7.4% |
| Swiss | 12.3 /100 | #212 | Poor 7.9% |
| Syrian | 31.9 /100 | #194 | Fair 7.7% |
| Taiwanese | 100.0 /100 | #7 | Exceptional 6.1% |
| Thai | 100.0 /100 | #15 | Exceptional 6.3% |
| Tlingit-Haida | 0.0 /100 | #298 | Tragic 8.9% |
| Tohono O'Odham | 0.0 /100 | #328 | Tragic 10.2% |
| Tongan | 99.7 /100 | #64 | Exceptional 6.9% |
| Trinidadian and Tobagonian | 5.3 /100 | #231 | Tragic 8.0% |
| Tsimshian | 100.0 /100 | #32 | Exceptional 6.6% |
| Turkish | 99.2 /100 | #74 | Exceptional 7.0% |
| U.S. Virgin Islander | 0.0 /100 | #285 | Tragic 8.7% |
| Ugandan | 65.8 /100 | #164 | Good 7.6% |
| Ukrainian | 88.2 /100 | #131 | Excellent 7.4% |
| Uruguayan | 74.7 /100 | #153 | Good 7.5% |
| Ute | 100.0 /100 | #20 | Exceptional 6.5% |
| Venezuelan | 97.2 /100 | #105 | Exceptional 7.2% |
| Vietnamese | 0.0 /100 | #290 | Tragic 8.8% |
| Welsh | 5.0 /100 | #232 | Tragic 8.0% |
| West Indian | 0.3 /100 | #262 | Tragic 8.4% |
| Yakama | 100.0 /100 | #35 | Exceptional 6.6% |
| Yaqui | 0.0 /100 | #276 | Tragic 8.6% |
| Yugoslavian | 39.4 /100 | #186 | Fair 7.7% |
| Yuman | 0.0 /100 | #342 | Tragic 14.6% |
| Yup'ik | 0.0 /100 | #347 | Tragic 21.1% |
| Zimbabwean | 91.5 /100 | #128 | Exceptional 7.3% |
Unemployment Among Women with Children Under 6 years by Immigration
Top 20 Immigration Origins by Unemployment Among Women with Children Under 6 years
Top demographics by Unemployment Among Women with Children Under 6 years within the immigration category in the United States are Immigrants from Cabo Verde (5.4%, 100.0/100), Immigrants from Hong Kong (5.8%, 100.0/100), Immigrants from Taiwan (6.0%, 100.0/100), Immigrants from India (6.1%, 100.0/100), and Immigrants from China (6.2%, 100.0/100).
| Immigration | Rating | Rank | Unemployment Among Women with Children Under 6 years |
| Nonimmigrants | 0.0 /100 | #294 | Tragic 8.8% |
| Immigrants | 21.4 /100 | #205 | Fair 7.8% |
| Afghanistan | 98.7 /100 | #82 | Exceptional 7.1% |
| Africa | 32.4 /100 | #192 | Fair 7.7% |
| Albania | 98.7 /100 | #84 | Exceptional 7.1% |
| Argentina | 81.5 /100 | #142 | Excellent 7.5% |
| Armenia | 87.4 /100 | #132 | Excellent 7.4% |
| Asia | 99.9 /100 | #47 | Exceptional 6.8% |
| Australia | 99.9 /100 | #45 | Exceptional 6.8% |
| Austria | 32.4 /100 | #191 | Fair 7.7% |
| Bahamas | 0.0 /100 | #323 | Tragic 9.6% |
| Bangladesh | 0.0 /100 | #293 | Tragic 8.8% |
| Barbados | 4.2 /100 | #236 | Tragic 8.0% |
| Belarus | 100.0 /100 | #30 | Exceptional 6.6% |
| Belgium | 99.6 /100 | #66 | Exceptional 6.9% |
| Belize | 0.0 /100 | #280 | Tragic 8.6% |
| Bolivia | 85.7 /100 | #134 | Excellent 7.4% |
| Bosnia and Herzegovina | 93.5 /100 | #122 | Exceptional 7.3% |
| Brazil | 77.3 /100 | #148 | Good 7.5% |
| Bulgaria | 100.0 /100 | #14 | Exceptional 6.3% |
| Burma/Myanmar | 91.9 /100 | #126 | Exceptional 7.3% |
| Cabo Verde | 100.0 /100 | #1 | Exceptional 5.4% |
| Cambodia | 84.6 /100 | #137 | Excellent 7.4% |
| Cameroon | 0.1 /100 | #274 | Tragic 8.6% |
| Canada | 61.6 /100 | #168 | Good 7.6% |
| Caribbean | 0.7 /100 | #254 | Tragic 8.3% |
| Central America | 0.0 /100 | #295 | Tragic 8.9% |
| Chile | 93.5 /100 | #121 | Exceptional 7.3% |
| China | 100.0 /100 | #10 | Exceptional 6.2% |
| Colombia | 83.9 /100 | #139 | Excellent 7.4% |
| Congo | 0.2 /100 | #271 | Tragic 8.5% |
| Costa Rica | 4.1 /100 | #237 | Tragic 8.0% |
| Croatia | 98.9 /100 | #77 | Exceptional 7.1% |
| Cuba | 99.9 /100 | #42 | Exceptional 6.7% |
| Czechoslovakia | 99.2 /100 | #73 | Exceptional 7.0% |
| Denmark | 98.3 /100 | #89 | Exceptional 7.1% |
| Dominica | 0.0 /100 | #278 | Tragic 8.6% |
| Dominican Republic | 0.0 /100 | #296 | Tragic 8.9% |
| Eastern Africa | 97.7 /100 | #96 | Exceptional 7.2% |
| Eastern Asia | 100.0 /100 | #13 | Exceptional 6.3% |
| Eastern Europe | 99.0 /100 | #75 | Exceptional 7.1% |
| Ecuador | 14.9 /100 | #211 | Poor 7.9% |
| Egypt | 97.2 /100 | #104 | Exceptional 7.2% |
| El Salvador | 2.6 /100 | #240 | Tragic 8.1% |
| England | 45.4 /100 | #178 | Average 7.7% |
| Eritrea | 99.4 /100 | #69 | Exceptional 7.0% |
| Ethiopia | 99.8 /100 | #56 | Exceptional 6.9% |
| Europe | 97.5 /100 | #99 | Exceptional 7.2% |
| Fiji | 98.9 /100 | #79 | Exceptional 7.1% |
| France | 99.7 /100 | #61 | Exceptional 6.9% |
| Germany | 8.5 /100 | #221 | Tragic 7.9% |
| Ghana | 0.5 /100 | #258 | Tragic 8.3% |
| Greece | 98.9 /100 | #80 | Exceptional 7.1% |
| Grenada | 59.0 /100 | #171 | Average 7.6% |
| Guatemala | 0.0 /100 | #279 | Tragic 8.6% |
| Guyana | 0.8 /100 | #253 | Tragic 8.2% |
| Haiti | 0.2 /100 | #269 | Tragic 8.4% |
| Honduras | 0.3 /100 | #266 | Tragic 8.4% |
| Hong Kong | 100.0 /100 | #2 | Exceptional 5.8% |
| Hungary | 98.3 /100 | #88 | Exceptional 7.1% |
| India | 100.0 /100 | #8 | Exceptional 6.1% |
| Indonesia | 99.9 /100 | #41 | Exceptional 6.7% |
| Iran | 99.9 /100 | #52 | Exceptional 6.8% |
| Iraq | 99.4 /100 | #70 | Exceptional 7.0% |
| Ireland | 99.9 /100 | #50 | Exceptional 6.8% |
| Israel | 100.0 /100 | #28 | Exceptional 6.5% |
| Italy | 96.1 /100 | #115 | Exceptional 7.2% |
| Jamaica | 0.0 /100 | #299 | Tragic 8.9% |
| Japan | 100.0 /100 | #27 | Exceptional 6.5% |
| Jordan | 78.9 /100 | #145 | Good 7.5% |
| Kazakhstan | 97.1 /100 | #107 | Exceptional 7.2% |
| Kenya | 95.4 /100 | #117 | Exceptional 7.3% |
| Korea | 100.0 /100 | #22 | Exceptional 6.5% |
| Kuwait | 99.7 /100 | #65 | Exceptional 6.9% |
| Laos | 50.0 /100 | #174 | Average 7.6% |
| Latin America | 0.1 /100 | #275 | Tragic 8.6% |
| Latvia | 99.9 /100 | #54 | Exceptional 6.8% |
| Lebanon | 11.1 /100 | #216 | Poor 7.9% |
| Liberia | 0.3 /100 | #261 | Tragic 8.4% |
| Lithuania | 68.8 /100 | #162 | Good 7.5% |
| Malaysia | 100.0 /100 | #17 | Exceptional 6.4% |
| Mexico | 0.0 /100 | #304 | Tragic 9.1% |
| Micronesia | 0.0 /100 | #308 | Tragic 9.1% |
| Middle Africa | 3.2 /100 | #238 | Tragic 8.1% |
| Moldova | 100.0 /100 | #31 | Exceptional 6.6% |
| Morocco | 84.9 /100 | #136 | Excellent 7.4% |
| Nepal | 99.9 /100 | #49 | Exceptional 6.8% |
| Netherlands | 99.5 /100 | #67 | Exceptional 7.0% |
| Nicaragua | 97.3 /100 | #102 | Exceptional 7.2% |
| Nigeria | 10.3 /100 | #217 | Poor 7.9% |
| North America | 57.7 /100 | #172 | Average 7.6% |
| North Macedonia | 34.4 /100 | #190 | Fair 7.7% |
| Northern Africa | 85.3 /100 | #135 | Excellent 7.4% |
| Northern Europe | 97.4 /100 | #100 | Exceptional 7.2% |
| Norway | 84.1 /100 | #138 | Excellent 7.4% |
| Oceania | 78.4 /100 | #147 | Good 7.5% |
| Pakistan | 97.2 /100 | #106 | Exceptional 7.2% |
| Panama | 35.7 /100 | #189 | Fair 7.7% |
| Peru | 74.9 /100 | #151 | Good 7.5% |
| Philippines | 71.3 /100 | #159 | Good 7.5% |
| Poland | 27.3 /100 | #199 | Fair 7.8% |
| Portugal | 0.6 /100 | #255 | Tragic 8.3% |
| Romania | 98.7 /100 | #85 | Exceptional 7.1% |
| Russia | 100.0 /100 | #39 | Exceptional 6.7% |
| Saudi Arabia | 97.3 /100 | #103 | Exceptional 7.2% |
| Scotland | 61.3 /100 | #169 | Good 7.6% |
| Senegal | 0.2 /100 | #270 | Tragic 8.5% |
| Serbia | 99.8 /100 | #59 | Exceptional 6.9% |
| Sierra Leone | 1.1 /100 | #249 | Tragic 8.2% |
| Singapore | 100.0 /100 | #12 | Exceptional 6.3% |
| Somalia | 98.9 /100 | #78 | Exceptional 7.1% |
| South Africa | 92.5 /100 | #124 | Exceptional 7.3% |
| South America | 65.6 /100 | #165 | Good 7.6% |
| South Central Asia | 100.0 /100 | #34 | Exceptional 6.6% |
| South Eastern Asia | 97.6 /100 | #97 | Exceptional 7.2% |
| Southern Europe | 73.2 /100 | #156 | Good 7.5% |
| Spain | 98.2 /100 | #90 | Exceptional 7.1% |
| Sri Lanka | 99.8 /100 | #60 | Exceptional 6.9% |
| St. Vincent and the Grenadines | 31.1 /100 | #196 | Fair 7.7% |
| Sudan | 6.0 /100 | #228 | Tragic 8.0% |
| Sweden | 100.0 /100 | #29 | Exceptional 6.6% |
| Switzerland | 99.9 /100 | #48 | Exceptional 6.8% |
| Syria | 18.9 /100 | #208 | Poor 7.8% |
| Taiwan | 100.0 /100 | #6 | Exceptional 6.0% |
| Thailand | 38.5 /100 | #187 | Fair 7.7% |
| Trinidad and Tobago | 4.8 /100 | #233 | Tragic 8.0% |
| Turkey | 99.8 /100 | #58 | Exceptional 6.9% |
| Uganda | 86.5 /100 | #133 | Excellent 7.4% |
| Ukraine | 99.8 /100 | #55 | Exceptional 6.8% |
| Uruguay | 44.5 /100 | #180 | Average 7.7% |
| Uzbekistan | 100.0 /100 | #16 | Exceptional 6.3% |
| Venezuela | 98.8 /100 | #81 | Exceptional 7.1% |
| Vietnam | 100.0 /100 | #33 | Exceptional 6.6% |
| West Indies | 0.0 /100 | #303 | Tragic 9.0% |
| Western Africa | 1.1 /100 | #248 | Tragic 8.2% |
| Western Asia | 70.2 /100 | #161 | Good 7.5% |
| Western Europe | 44.9 /100 | #179 | Average 7.7% |
| Yemen | 0.0 /100 | #340 | Tragic 13.5% |
| Zaire | 93.3 /100 | #123 | Exceptional 7.3% |
| Zimbabwe | 98.6 /100 | #86 | Exceptional 7.1% |
| Azores | 0.0 /100 | #312 | Tragic 9.2% |