Unemployment Among Women with Children Ages 6 to 17 years by Race, Ethnicity and Immigration Origin
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Unemployment Among Women with Children Ages 6 to 17 years
Common Questions
What are the top races in the United States with the lowest unemployment rate among women with children between the ages 6 and 17?
The top races in the United States with the lowest unemployment rate among women with children between the ages 6 and 17 are:
#1
Asians
8.0%
(100.0/100)
#2
Hawaiians
8.1%
(100.0/100)
#3
Whites/Caucasians
9.6%
(0.1/100)
What are the top ancestries in the United States with the lowest unemployment rate among women with children between the ages 6 and 17?
The top ancestries in the United States with the lowest unemployment rate among women with children between the ages 6 and 17 are:
#1
Taiwanese
6.5%
(100.0/100)
#2
Fijians
6.6%
(100.0/100)
#3
Tongans
6.7%
(100.0/100)
#4
Ute
7.0%
(100.0/100)
#5
Okinawans
7.0%
(100.0/100)
What are the top immigration origins in the United States with the lowest unemployment rate among women with children between the ages 6 and 17?
The top immigration origins in the United States with the lowest unemployment rate among women with children between the ages 6 and 17 are:
#1
Immigrants from Hong Kong
7.2%
(100.0/100)
#2
Immigrants from Fiji
7.3%
(100.0/100)
#3
Immigrants from Taiwan
7.3%
(100.0/100)
#4
Immigrants from Burma/Myanmar
7.5%
(100.0/100)
#5
Immigrants from Singapore
7.7%
(100.0/100)
Top 10 Demographics by Unemployment Among Women with Children Ages 6 to 17 years
The best off demographics with the lowest unemployment rate among women with children between the ages 6 and 17 in the United States are Taiwanese (6.5%, 100.0/100), Fijian (6.6%, 100.0/100), Tongan (6.7%, 100.0/100), Ute (7.0%, 100.0/100), and Okinawan (7.0%, 100.0/100).
Bottom 10 Demographics by Unemployment Among Women with Children Ages 6 to 17 years
The worst off demographics with the highest unemployment rate among women with children between the ages 6 and 17 in the United States are Pima (18.9%, 0.0/100), Yup'ik (18.6%, 0.0/100), Arapaho (16.8%, 0.0/100), Cheyenne (16.4%, 0.0/100), and Inupiat (14.9%, 0.0/100).
Unemployment Among Women with Children Ages 6 to 17 years by Race
Top demographics by Unemployment Among Women with Children Ages 6 to 17 years within the race category in the United States are Asians (8.0%, 100.0/100), Hawaiians (8.1%, 100.0/100), and Whites/Caucasians (9.6%, 0.1/100).
| Race | Rating | Rank | Unemployment Among Women with Children Ages 6 to 17 years |
| Asian | 100.0 /100 | #37 | Exceptional 8.0% |
| Black/African American | 0.0 /100 | #331 | Tragic 11.4% |
| Hawaiian | 100.0 /100 | #50 | Exceptional 8.1% |
| Hispanic or Latino | 0.0 /100 | #285 | Tragic 9.9% |
| Native/Alaskan | 0.0 /100 | #333 | Tragic 11.5% |
| White/Caucasian | 0.1 /100 | #273 | Tragic 9.6% |
Unemployment Among Women with Children Ages 6 to 17 years by Ancestry
Top 20 Ancestries by Unemployment Among Women with Children Ages 6 to 17 years
Top demographics by Unemployment Among Women with Children Ages 6 to 17 years within the ancestry category in the United States are Fijians (6.6%, 100.0/100), Taiwanese (6.5%, 100.0/100), Tongans (6.7%, 100.0/100), Ute (7.0%, 100.0/100), and Okinawans (7.0%, 100.0/100).
| Ancestry | Rating | Rank | Unemployment Among Women with Children Ages 6 to 17 years |
| Afghan | 100.0 /100 | #18 | Exceptional 7.6% |
| African | 0.0 /100 | #312 | Tragic 10.4% |
| Alaska Native | 0.0 /100 | #310 | Tragic 10.3% |
| Alaskan Athabascan | 99.4 /100 | #86 | Exceptional 8.5% |
| Albanian | 96.3 /100 | #117 | Exceptional 8.6% |
| Aleut | 0.1 /100 | #274 | Tragic 9.6% |
| Alsatian | 100.0 /100 | #38 | Exceptional 8.0% |
| American | 0.0 /100 | #313 | Tragic 10.4% |
| Apache | 0.0 /100 | #320 | Tragic 10.7% |
| Arab | 2.7 /100 | #238 | Tragic 9.3% |
| Arapaho | 0.0 /100 | #345 | Tragic 16.8% |
| Argentinean | 96.5 /100 | #115 | Exceptional 8.6% |
| Armenian | 99.9 /100 | #67 | Exceptional 8.3% |
| Assyrian/Chaldean/Syriac | 100.0 /100 | #9 | Exceptional 7.2% |
| Australian | 98.9 /100 | #93 | Exceptional 8.5% |
| Austrian | 25.0 /100 | #195 | Fair 9.1% |
| Bahamian | 0.0 /100 | #315 | Tragic 10.4% |
| Bangladeshi | 100.0 /100 | #12 | Exceptional 7.4% |
| Barbadian | 93.8 /100 | #129 | Exceptional 8.7% |
| Basque | 100.0 /100 | #60 | Exceptional 8.2% |
| Belgian | 6.4 /100 | #220 | Tragic 9.2% |
| Belizean | 28.4 /100 | #191 | Fair 9.1% |
| Bermudan | 0.0 /100 | #317 | Tragic 10.5% |
| Bhutanese | 100.0 /100 | #43 | Exceptional 8.1% |
| Blackfeet | 0.2 /100 | #269 | Tragic 9.6% |
| Bolivian | 98.5 /100 | #97 | Exceptional 8.5% |
| Brazilian | 24.4 /100 | #196 | Fair 9.1% |
| British | 55.2 /100 | #169 | Average 8.9% |
| British West Indian | 0.1 /100 | #277 | Tragic 9.7% |
| Bulgarian | 99.5 /100 | #83 | Exceptional 8.4% |
| Burmese | 100.0 /100 | #36 | Exceptional 8.0% |
| Cajun | 0.0 /100 | #325 | Tragic 10.8% |
| Cambodian | 100.0 /100 | #17 | Exceptional 7.5% |
| Canadian | 0.8 /100 | #256 | Tragic 9.4% |
| Cape Verdean | 0.0 /100 | #327 | Tragic 10.9% |
| Carpatho Rusyn | 0.0 /100 | #292 | Tragic 10.0% |
| Celtic | 0.7 /100 | #257 | Tragic 9.5% |
| Central American | 1.3 /100 | #251 | Tragic 9.4% |
| Central American Indian | 0.0 /100 | #283 | Tragic 9.9% |
| Cherokee | 0.0 /100 | #295 | Tragic 10.0% |
| Cheyenne | 0.0 /100 | #344 | Tragic 16.4% |
| Chickasaw | 97.6 /100 | #107 | Exceptional 8.6% |
| Chilean | 80.8 /100 | #146 | Excellent 8.8% |
| Chinese | 5.2 /100 | #225 | Tragic 9.3% |
| Chippewa | 0.0 /100 | #330 | Tragic 11.1% |
| Choctaw | 0.0 /100 | #286 | Tragic 9.9% |
| Colombian | 2.2 /100 | #241 | Tragic 9.3% |
| Colville | 0.0 /100 | #335 | Tragic 12.3% |
| Comanche | 30.0 /100 | #187 | Fair 9.0% |
| Costa Rican | 77.0 /100 | #148 | Good 8.8% |
| Cree | 0.0 /100 | #322 | Tragic 10.8% |
| Creek | 1.2 /100 | #252 | Tragic 9.4% |
| Croatian | 76.0 /100 | #149 | Good 8.8% |
| Crow | 5.8 /100 | #221 | Tragic 9.2% |
| Cuban | 10.9 /100 | #207 | Poor 9.2% |
| Cypriot | 99.6 /100 | #82 | Exceptional 8.4% |
| Czech | 94.4 /100 | #127 | Exceptional 8.7% |
| Czechoslovakian | 20.8 /100 | #199 | Fair 9.1% |
| Danish | 100.0 /100 | #53 | Exceptional 8.1% |
| Delaware | 0.0 /100 | #318 | Tragic 10.5% |
| Dominican | 0.0 /100 | #323 | Tragic 10.8% |
| Dutch | 1.5 /100 | #248 | Tragic 9.4% |
| Dutch West Indian | 0.0 /100 | #308 | Tragic 10.2% |
| Eastern European | 96.8 /100 | #113 | Exceptional 8.6% |
| Ecuadorian | 0.0 /100 | #294 | Tragic 10.0% |
| Egyptian | 91.8 /100 | #133 | Exceptional 8.7% |
| English | 1.9 /100 | #244 | Tragic 9.4% |
| Estonian | 4.4 /100 | #228 | Tragic 9.3% |
| Ethiopian | 37.6 /100 | #180 | Fair 9.0% |
| European | 90.6 /100 | #135 | Exceptional 8.7% |
| Fijian | 100.0 /100 | #2 | Exceptional 6.6% |
| Filipino | 100.0 /100 | #19 | Exceptional 7.6% |
| Finnish | 10.0 /100 | #210 | Tragic 9.2% |
| French | 0.1 /100 | #278 | Tragic 9.7% |
| French American Indian | 3.7 /100 | #232 | Tragic 9.3% |
| French Canadian | 0.0 /100 | #309 | Tragic 10.3% |
| German | 7.2 /100 | #217 | Tragic 9.2% |
| German Russian | 98.6 /100 | #96 | Exceptional 8.5% |
| Ghanaian | 0.2 /100 | #268 | Tragic 9.6% |
| Greek | 75.2 /100 | #150 | Good 8.9% |
| Guamanian/Chamorro | 27.2 /100 | #192 | Fair 9.1% |
| Guatemalan | 2.3 /100 | #240 | Tragic 9.3% |
| Guyanese | 21.8 /100 | #198 | Fair 9.1% |
| Haitian | 0.0 /100 | #293 | Tragic 10.0% |
| Hmong | 94.3 /100 | #128 | Exceptional 8.7% |
| Honduran | 0.0 /100 | #289 | Tragic 10.0% |
| Hopi | 0.0 /100 | #338 | Tragic 12.9% |
| Houma | 0.0 /100 | #336 | Tragic 12.5% |
| Hungarian | 3.0 /100 | #236 | Tragic 9.3% |
| Icelander | 100.0 /100 | #46 | Exceptional 8.1% |
| Indian (Asian) | 100.0 /100 | #26 | Exceptional 7.7% |
| Indonesian | 100.0 /100 | #13 | Exceptional 7.4% |
| Inupiat | 0.0 /100 | #343 | Tragic 14.9% |
| Iranian | 100.0 /100 | #41 | Exceptional 8.0% |
| Iraqi | 99.7 /100 | #77 | Exceptional 8.4% |
| Irish | 0.3 /100 | #267 | Tragic 9.5% |
| Iroquois | 7.5 /100 | #214 | Tragic 9.2% |
| Israeli | 95.9 /100 | #120 | Exceptional 8.7% |
| Italian | 0.6 /100 | #260 | Tragic 9.5% |
| Jamaican | 0.0 /100 | #281 | Tragic 9.8% |
| Japanese | 99.5 /100 | #84 | Exceptional 8.4% |
| Jordanian | 52.2 /100 | #171 | Average 9.0% |
| Kenyan | 85.6 /100 | #145 | Excellent 8.8% |
| Kiowa | 0.1 /100 | #272 | Tragic 9.6% |
| Korean | 100.0 /100 | #61 | Exceptional 8.2% |
| Laotian | 100.0 /100 | #31 | Exceptional 7.9% |
| Latvian | 97.4 /100 | #110 | Exceptional 8.6% |
| Lebanese | 0.5 /100 | #263 | Tragic 9.5% |
| Liberian | 0.0 /100 | #326 | Tragic 10.8% |
| Lithuanian | 0.9 /100 | #255 | Tragic 9.4% |
| Lumbee | 4.3 /100 | #229 | Tragic 9.3% |
| Luxembourger | 99.9 /100 | #66 | Exceptional 8.3% |
| Macedonian | 3.9 /100 | #231 | Tragic 9.3% |
| Malaysian | 98.5 /100 | #98 | Exceptional 8.6% |
| Maltese | 15.3 /100 | #203 | Poor 9.1% |
| Marshallese | 99.9 /100 | #68 | Exceptional 8.3% |
| Menominee | 39.3 /100 | #178 | Fair 9.0% |
| Mexican | 3.2 /100 | #234 | Tragic 9.3% |
| Mexican American Indian | 60.6 /100 | #163 | Good 8.9% |
| Mongolian | 99.6 /100 | #79 | Exceptional 8.4% |
| Moroccan | 58.3 /100 | #166 | Average 8.9% |
| Native Hawaiian | 100.0 /100 | #34 | Exceptional 7.9% |
| Navajo | 0.0 /100 | #341 | Tragic 14.2% |
| Nepalese | 100.0 /100 | #24 | Exceptional 7.7% |
| New Zealander | 98.4 /100 | #100 | Exceptional 8.6% |
| Nicaraguan | 1.0 /100 | #254 | Tragic 9.4% |
| Nigerian | 0.0 /100 | #300 | Tragic 10.1% |
| Northern European | 89.2 /100 | #139 | Excellent 8.8% |
| Norwegian | 99.9 /100 | #70 | Exceptional 8.3% |
| Okinawan | 100.0 /100 | #5 | Exceptional 7.0% |
| Osage | 65.9 /100 | #156 | Good 8.9% |
| Ottawa | 0.0 /100 | #328 | Tragic 10.9% |
| Paiute | 99.1 /100 | #89 | Exceptional 8.5% |
| Pakistani | 99.6 /100 | #78 | Exceptional 8.4% |
| Palestinian | 33.4 /100 | #184 | Fair 9.0% |
| Panamanian | 4.5 /100 | #227 | Tragic 9.3% |
| Paraguayan | 0.0 /100 | #306 | Tragic 10.2% |
| Pennsylvania German | 0.0 /100 | #329 | Tragic 11.0% |
| Peruvian | 9.0 /100 | #212 | Tragic 9.2% |
| Pima | 0.0 /100 | #347 | Tragic 18.9% |
| Polish | 1.5 /100 | #247 | Tragic 9.4% |
| Portuguese | 1.1 /100 | #253 | Tragic 9.4% |
| Potawatomi | 99.0 /100 | #92 | Exceptional 8.5% |
| Pueblo | 96.2 /100 | #118 | Exceptional 8.6% |
| Puerto Rican | 0.0 /100 | #340 | Tragic 13.9% |
| Puget Sound Salish | 100.0 /100 | #15 | Exceptional 7.5% |
| Romanian | 97.1 /100 | #112 | Exceptional 8.6% |
| Russian | 85.8 /100 | #144 | Excellent 8.8% |
| Salvadoran | 10.7 /100 | #209 | Poor 9.2% |
| Samoan | 99.7 /100 | #74 | Exceptional 8.4% |
| Scandinavian | 98.3 /100 | #103 | Exceptional 8.6% |
| Scotch-Irish | 0.1 /100 | #279 | Tragic 9.7% |
| Scottish | 2.0 /100 | #243 | Tragic 9.4% |
| Seminole | 0.1 /100 | #280 | Tragic 9.7% |
| Senegalese | 0.5 /100 | #262 | Tragic 9.5% |
| Serbian | 87.6 /100 | #141 | Excellent 8.8% |
| Shoshone | 0.0 /100 | #288 | Tragic 10.0% |
| Sierra Leonean | 0.0 /100 | #287 | Tragic 9.9% |
| Sioux | 0.0 /100 | #339 | Tragic 13.2% |
| Slavic | 92.2 /100 | #131 | Exceptional 8.7% |
| Slovak | 0.0 /100 | #282 | Tragic 9.8% |
| Slovene | 28.5 /100 | #190 | Fair 9.1% |
| Somali | 100.0 /100 | #39 | Exceptional 8.0% |
| South African | 94.6 /100 | #125 | Exceptional 8.7% |
| South American | 0.5 /100 | #261 | Tragic 9.5% |
| South American Indian | 34.4 /100 | #182 | Fair 9.0% |
| Soviet Union | 100.0 /100 | #7 | Exceptional 7.1% |
| Spaniard | 8.2 /100 | #213 | Tragic 9.2% |
| Spanish | 63.8 /100 | #159 | Good 8.9% |
| Spanish American | 99.8 /100 | #73 | Exceptional 8.4% |
| Spanish American Indian | 100.0 /100 | #62 | Exceptional 8.2% |
| Sri Lankan | 98.7 /100 | #95 | Exceptional 8.5% |
| Subsaharan African | 0.0 /100 | #290 | Tragic 10.0% |
| Sudanese | 100.0 /100 | #14 | Exceptional 7.4% |
| Swedish | 97.6 /100 | #108 | Exceptional 8.6% |
| Swiss | 33.5 /100 | #183 | Fair 9.0% |
| Syrian | 6.9 /100 | #218 | Tragic 9.2% |
| Taiwanese | 100.0 /100 | #1 | Exceptional 6.5% |
| Thai | 100.0 /100 | #29 | Exceptional 7.8% |
| Tlingit-Haida | 100.0 /100 | #6 | Exceptional 7.1% |
| Tohono O'Odham | 0.0 /100 | #321 | Tragic 10.7% |
| Tongan | 100.0 /100 | #3 | Exceptional 6.7% |
| Trinidadian and Tobagonian | 18.2 /100 | #200 | Poor 9.1% |
| Tsimshian | 0.0 /100 | #332 | Tragic 11.4% |
| Turkish | 54.1 /100 | #170 | Average 8.9% |
| U.S. Virgin Islander | 0.1 /100 | #275 | Tragic 9.7% |
| Ugandan | 0.0 /100 | #334 | Tragic 12.0% |
| Ukrainian | 59.7 /100 | #164 | Average 8.9% |
| Uruguayan | 3.0 /100 | #235 | Tragic 9.3% |
| Ute | 100.0 /100 | #4 | Exceptional 7.0% |
| Venezuelan | 0.0 /100 | #302 | Tragic 10.2% |
| Vietnamese | 72.1 /100 | #154 | Good 8.9% |
| Welsh | 4.0 /100 | #230 | Tragic 9.3% |
| West Indian | 0.4 /100 | #265 | Tragic 9.5% |
| Yakama | 0.0 /100 | #284 | Tragic 9.9% |
| Yaqui | 92.2 /100 | #132 | Exceptional 8.7% |
| Yugoslavian | 99.0 /100 | #90 | Exceptional 8.5% |
| Yuman | 0.0 /100 | #342 | Tragic 14.8% |
| Yup'ik | 0.0 /100 | #346 | Tragic 18.6% |
| Zimbabwean | 96.3 /100 | #116 | Exceptional 8.6% |
Unemployment Among Women with Children Ages 6 to 17 years by Immigration
Top 20 Immigration Origins by Unemployment Among Women with Children Ages 6 to 17 years
Top demographics by Unemployment Among Women with Children Ages 6 to 17 years within the immigration category in the United States are Immigrants from Hong Kong (7.2%, 100.0/100), Immigrants from Fiji (7.3%, 100.0/100), Immigrants from Taiwan (7.3%, 100.0/100), Immigrants from Burma/Myanmar (7.5%, 100.0/100), and Immigrants from Singapore (7.7%, 100.0/100).
| Immigration | Rating | Rank | Unemployment Among Women with Children Ages 6 to 17 years |
| Nonimmigrants | 0.0 /100 | #291 | Tragic 10.0% |
| Immigrants | 29.2 /100 | #189 | Fair 9.1% |
| Afghanistan | 100.0 /100 | #27 | Exceptional 7.8% |
| Africa | 1.6 /100 | #246 | Tragic 9.4% |
| Albania | 99.9 /100 | #65 | Exceptional 8.3% |
| Argentina | 90.0 /100 | #137 | Excellent 8.7% |
| Armenia | 100.0 /100 | #54 | Exceptional 8.2% |
| Asia | 100.0 /100 | #48 | Exceptional 8.1% |
| Australia | 99.8 /100 | #71 | Exceptional 8.3% |
| Austria | 87.5 /100 | #142 | Excellent 8.8% |
| Bahamas | 0.0 /100 | #301 | Tragic 10.1% |
| Bangladesh | 79.4 /100 | #147 | Good 8.8% |
| Barbados | 98.8 /100 | #94 | Exceptional 8.5% |
| Belarus | 99.6 /100 | #80 | Exceptional 8.4% |
| Belgium | 65.6 /100 | #157 | Good 8.9% |
| Belize | 2.8 /100 | #237 | Tragic 9.3% |
| Bolivia | 99.6 /100 | #81 | Exceptional 8.4% |
| Bosnia and Herzegovina | 100.0 /100 | #56 | Exceptional 8.2% |
| Brazil | 51.0 /100 | #173 | Average 9.0% |
| Bulgaria | 100.0 /100 | #45 | Exceptional 8.1% |
| Burma/Myanmar | 100.0 /100 | #16 | Exceptional 7.5% |
| Cabo Verde | 0.0 /100 | #314 | Tragic 10.4% |
| Cambodia | 100.0 /100 | #32 | Exceptional 7.9% |
| Cameroon | 1.8 /100 | #245 | Tragic 9.4% |
| Canada | 15.3 /100 | #204 | Poor 9.1% |
| Caribbean | 0.0 /100 | #297 | Tragic 10.1% |
| Central America | 0.6 /100 | #259 | Tragic 9.5% |
| Chile | 65.3 /100 | #158 | Good 8.9% |
| China | 100.0 /100 | #22 | Exceptional 7.7% |
| Colombia | 2.1 /100 | #242 | Tragic 9.3% |
| Congo | 32.5 /100 | #185 | Fair 9.0% |
| Costa Rica | 50.0 /100 | #174 | Average 9.0% |
| Croatia | 57.1 /100 | #168 | Average 8.9% |
| Cuba | 9.6 /100 | #211 | Tragic 9.2% |
| Czechoslovakia | 34.5 /100 | #181 | Fair 9.0% |
| Denmark | 95.5 /100 | #121 | Exceptional 8.7% |
| Dominica | 0.0 /100 | #316 | Tragic 10.5% |
| Dominican Republic | 0.0 /100 | #324 | Tragic 10.8% |
| Eastern Africa | 74.6 /100 | #151 | Good 8.9% |
| Eastern Asia | 100.0 /100 | #25 | Exceptional 7.7% |
| Eastern Europe | 99.0 /100 | #91 | Exceptional 8.5% |
| Ecuador | 0.0 /100 | #303 | Tragic 10.2% |
| Egypt | 95.0 /100 | #122 | Exceptional 8.7% |
| El Salvador | 5.3 /100 | #224 | Tragic 9.3% |
| England | 57.7 /100 | #167 | Average 8.9% |
| Eritrea | 5.8 /100 | #223 | Tragic 9.2% |
| Ethiopia | 89.5 /100 | #138 | Excellent 8.8% |
| Europe | 73.4 /100 | #153 | Good 8.9% |
| Fiji | 100.0 /100 | #10 | Exceptional 7.3% |
| France | 98.0 /100 | #104 | Exceptional 8.6% |
| Germany | 7.2 /100 | #215 | Tragic 9.2% |
| Ghana | 0.4 /100 | #264 | Tragic 9.5% |
| Greece | 71.8 /100 | #155 | Good 8.9% |
| Grenada | 96.2 /100 | #119 | Exceptional 8.6% |
| Guatemala | 1.3 /100 | #250 | Tragic 9.4% |
| Guyana | 63.0 /100 | #161 | Good 8.9% |
| Haiti | 0.0 /100 | #298 | Tragic 10.1% |
| Honduras | 0.0 /100 | #299 | Tragic 10.1% |
| Hong Kong | 100.0 /100 | #8 | Exceptional 7.2% |
| Hungary | 63.4 /100 | #160 | Good 8.9% |
| India | 100.0 /100 | #21 | Exceptional 7.7% |
| Indonesia | 100.0 /100 | #23 | Exceptional 7.7% |
| Iran | 100.0 /100 | #30 | Exceptional 7.9% |
| Iraq | 100.0 /100 | #52 | Exceptional 8.1% |
| Ireland | 91.0 /100 | #134 | Exceptional 8.7% |
| Israel | 99.1 /100 | #87 | Exceptional 8.5% |
| Italy | 43.7 /100 | #176 | Average 9.0% |
| Jamaica | 0.3 /100 | #266 | Tragic 9.5% |
| Japan | 100.0 /100 | #55 | Exceptional 8.2% |
| Jordan | 41.6 /100 | #177 | Average 9.0% |
| Kazakhstan | 25.3 /100 | #194 | Fair 9.1% |
| Kenya | 86.1 /100 | #143 | Excellent 8.8% |
| Korea | 100.0 /100 | #33 | Exceptional 7.9% |
| Kuwait | 99.9 /100 | #64 | Exceptional 8.3% |
| Laos | 100.0 /100 | #57 | Exceptional 8.2% |
| Latin America | 0.1 /100 | #271 | Tragic 9.6% |
| Latvia | 90.4 /100 | #136 | Exceptional 8.7% |
| Lebanon | 94.9 /100 | #124 | Exceptional 8.7% |
| Liberia | 0.0 /100 | #311 | Tragic 10.3% |
| Lithuania | 98.4 /100 | #99 | Exceptional 8.6% |
| Malaysia | 100.0 /100 | #58 | Exceptional 8.2% |
| Mexico | 0.7 /100 | #258 | Tragic 9.5% |
| Micronesia | 59.2 /100 | #165 | Average 8.9% |
| Middle Africa | 15.6 /100 | #202 | Poor 9.1% |
| Moldova | 99.7 /100 | #76 | Exceptional 8.4% |
| Morocco | 94.9 /100 | #123 | Exceptional 8.7% |
| Nepal | 99.8 /100 | #72 | Exceptional 8.3% |
| Netherlands | 60.8 /100 | #162 | Good 8.9% |
| Nicaragua | 0.2 /100 | #270 | Tragic 9.6% |
| Nigeria | 0.0 /100 | #305 | Tragic 10.2% |
| North America | 12.7 /100 | #206 | Poor 9.2% |
| North Macedonia | 99.4 /100 | #85 | Exceptional 8.5% |
| Northern Africa | 94.4 /100 | #126 | Exceptional 8.7% |
| Northern Europe | 74.6 /100 | #152 | Good 8.9% |
| Norway | 97.8 /100 | #105 | Exceptional 8.6% |
| Oceania | 100.0 /100 | #49 | Exceptional 8.1% |
| Pakistan | 98.4 /100 | #101 | Exceptional 8.6% |
| Panama | 24.3 /100 | #197 | Fair 9.1% |
| Peru | 10.8 /100 | #208 | Poor 9.2% |
| Philippines | 100.0 /100 | #59 | Exceptional 8.2% |
| Poland | 88.3 /100 | #140 | Excellent 8.8% |
| Portugal | 0.1 /100 | #276 | Tragic 9.7% |
| Romania | 97.5 /100 | #109 | Exceptional 8.6% |
| Russia | 96.7 /100 | #114 | Exceptional 8.6% |
| Saudi Arabia | 2.7 /100 | #239 | Tragic 9.3% |
| Scotland | 6.6 /100 | #219 | Tragic 9.2% |
| Senegal | 0.0 /100 | #307 | Tragic 10.2% |
| Serbia | 97.7 /100 | #106 | Exceptional 8.6% |
| Sierra Leone | 45.9 /100 | #175 | Average 9.0% |
| Singapore | 100.0 /100 | #20 | Exceptional 7.7% |
| Somalia | 100.0 /100 | #42 | Exceptional 8.0% |
| South Africa | 98.3 /100 | #102 | Exceptional 8.6% |
| South America | 1.5 /100 | #249 | Tragic 9.4% |
| South Central Asia | 100.0 /100 | #35 | Exceptional 7.9% |
| South Eastern Asia | 99.9 /100 | #63 | Exceptional 8.2% |
| Southern Europe | 5.8 /100 | #222 | Tragic 9.2% |
| Spain | 32.4 /100 | #186 | Fair 9.0% |
| Sri Lanka | 99.7 /100 | #75 | Exceptional 8.4% |
| St. Vincent and the Grenadines | 3.3 /100 | #233 | Tragic 9.3% |
| Sudan | 100.0 /100 | #51 | Exceptional 8.1% |
| Sweden | 100.0 /100 | #44 | Exceptional 8.1% |
| Switzerland | 100.0 /100 | #47 | Exceptional 8.1% |
| Syria | 29.7 /100 | #188 | Fair 9.1% |
| Taiwan | 100.0 /100 | #11 | Exceptional 7.3% |
| Thailand | 99.9 /100 | #69 | Exceptional 8.3% |
| Trinidad and Tobago | 16.7 /100 | #201 | Poor 9.1% |
| Turkey | 25.8 /100 | #193 | Fair 9.1% |
| Uganda | 0.0 /100 | #319 | Tragic 10.7% |
| Ukraine | 97.4 /100 | #111 | Exceptional 8.6% |
| Uruguay | 7.2 /100 | #216 | Tragic 9.2% |
| Uzbekistan | 100.0 /100 | #28 | Exceptional 7.8% |
| Venezuela | 0.0 /100 | #304 | Tragic 10.2% |
| Vietnam | 99.1 /100 | #88 | Exceptional 8.5% |
| West Indies | 52.2 /100 | #172 | Average 9.0% |
| Western Africa | 0.0 /100 | #296 | Tragic 10.1% |
| Western Asia | 93.1 /100 | #130 | Exceptional 8.7% |
| Western Europe | 14.1 /100 | #205 | Poor 9.1% |
| Yemen | 0.0 /100 | #337 | Tragic 12.7% |
| Zaire | 38.3 /100 | #179 | Fair 9.0% |
| Zimbabwe | 100.0 /100 | #40 | Exceptional 8.0% |
| Azores | 4.6 /100 | #226 | Tragic 9.3% |