Female Poverty Among 25-34 Year Olds by Race, Ethnicity and Immigration Origin
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Female Poverty Among 25-34 Year Olds
Common Questions
What are the top races in the United States with the lowest poverty level among females between the ages 25 and 34?
The top races in the United States with the lowest poverty level among females between the ages 25 and 34 are:
#1
Asians
11.4%
(99.9/100)
#2
Hawaiians
14.1%
(13.6/100)
#3
Whites/Caucasians
14.7%
(1.8/100)
What are the top ancestries in the United States with the lowest poverty level among females between the ages 25 and 34?
The top ancestries in the United States with the lowest poverty level among females between the ages 25 and 34 are:
#1
Filipinos
10.2%
(100.0/100)
#2
Thais
10.2%
(100.0/100)
#3
Chinese
11.0%
(100.0/100)
#4
Burmese
11.2%
(100.0/100)
#5
Indians (Asian)
11.2%
(100.0/100)
What are the top immigration origins in the United States with the lowest poverty level among females between the ages 25 and 34?
The top immigration origins in the United States with the lowest poverty level among females between the ages 25 and 34 are:
#1
Immigrants from India
9.7%
(100.0/100)
#2
Immigrants from Taiwan
10.0%
(100.0/100)
#3
Immigrants from Hong Kong
10.4%
(100.0/100)
#4
Immigrants from South Central Asia
10.8%
(100.0/100)
#5
Immigrants from Iran
11.0%
(100.0/100)
Top 10 Demographics by Female Poverty Among 25-34 Year Olds
The best off demographics with the lowest poverty level among females between the ages 25 and 34 in the United States are Immigrants from India (9.7%, 100.0/100), Immigrants from Taiwan (10.0%, 100.0/100), Filipino (10.2%, 100.0/100), Thai (10.2%, 100.0/100), and Immigrants from Hong Kong (10.4%, 100.0/100).
Bottom 10 Demographics by Female Poverty Among 25-34 Year Olds
The worst off demographics with the highest poverty level among females between the ages 25 and 34 in the United States are Puerto Rican (26.3%, 0.0/100), Lumbee (26.3%, 0.0/100), Pima (25.3%, 0.0/100), Tohono O'odham (24.7%, 0.0/100), and Yup'ik (24.3%, 0.0/100).
Female Poverty Among 25-34 Year Olds by Race
Top demographics by Female Poverty Among 25-34 Year Olds within the race category in the United States are Asians (11.4%, 99.9/100), Hawaiians (14.1%, 13.6/100), and Whites/Caucasians (14.7%, 1.8/100).
| Race | Rating | Rank | Female Poverty Among 25-34 Year Olds |
| Asian | 99.9 /100 | #22 | Exceptional 11.4% |
| Black/African American | 0.0 /100 | #326 | Tragic 18.9% |
| Hawaiian | 13.6 /100 | #204 | Poor 14.1% |
| Hispanic or Latino | 0.0 /100 | #296 | Tragic 16.6% |
| Native/Alaskan | 0.0 /100 | #335 | Tragic 20.3% |
| White/Caucasian | 1.8 /100 | #233 | Tragic 14.7% |
Female Poverty Among 25-34 Year Olds by Ancestry
Top 20 Ancestries by Female Poverty Among 25-34 Year Olds
Top demographics by Female Poverty Among 25-34 Year Olds within the ancestry category in the United States are Filipinos (10.2%, 100.0/100), Thais (10.2%, 100.0/100), Chinese (11.0%, 100.0/100), Burmese (11.2%, 100.0/100), and Indians (Asian) (11.2%, 100.0/100).
| Ancestry | Rating | Rank | Female Poverty Among 25-34 Year Olds |
| Afghan | 85.8 /100 | #134 | Excellent 13.0% |
| African | 0.0 /100 | #308 | Tragic 17.0% |
| Alaska Native | 0.0 /100 | #302 | Tragic 16.8% |
| Alaskan Athabascan | 0.0 /100 | #328 | Tragic 19.1% |
| Albanian | 97.7 /100 | #83 | Exceptional 12.5% |
| Aleut | 0.0 /100 | #282 | Tragic 16.1% |
| Alsatian | 1.4 /100 | #238 | Tragic 14.7% |
| American | 0.0 /100 | #287 | Tragic 16.4% |
| Apache | 0.0 /100 | #334 | Tragic 20.1% |
| Arab | 73.5 /100 | #154 | Good 13.2% |
| Arapaho | 0.0 /100 | #317 | Tragic 17.8% |
| Argentinean | 97.5 /100 | #87 | Exceptional 12.5% |
| Armenian | 99.2 /100 | #65 | Exceptional 12.2% |
| Assyrian/Chaldean/Syriac | 100.0 /100 | #15 | Exceptional 11.2% |
| Australian | 94.1 /100 | #110 | Exceptional 12.8% |
| Austrian | 83.7 /100 | #139 | Excellent 13.1% |
| Bahamian | 0.0 /100 | #283 | Tragic 16.1% |
| Bangladeshi | 0.0 /100 | #280 | Tragic 15.9% |
| Barbadian | 1.2 /100 | #242 | Tragic 14.8% |
| Basque | 59.3 /100 | #165 | Average 13.4% |
| Belgian | 58.9 /100 | #166 | Average 13.4% |
| Belizean | 0.4 /100 | #252 | Tragic 15.1% |
| Bermudan | 46.8 /100 | #175 | Average 13.6% |
| Bhutanese | 99.9 /100 | #25 | Exceptional 11.4% |
| Blackfeet | 0.0 /100 | #298 | Tragic 16.7% |
| Bolivian | 99.9 /100 | #23 | Exceptional 11.4% |
| Brazilian | 84.5 /100 | #138 | Excellent 13.1% |
| British | 63.5 /100 | #163 | Good 13.4% |
| British West Indian | 0.1 /100 | #270 | Tragic 15.6% |
| Bulgarian | 99.9 /100 | #29 | Exceptional 11.5% |
| Burmese | 100.0 /100 | #13 | Exceptional 11.2% |
| Cajun | 0.0 /100 | #333 | Tragic 19.9% |
| Cambodian | 99.9 /100 | #35 | Exceptional 11.7% |
| Canadian | 44.3 /100 | #178 | Average 13.6% |
| Cape Verdean | 0.0 /100 | #286 | Tragic 16.3% |
| Carpatho Rusyn | 93.0 /100 | #120 | Exceptional 12.8% |
| Celtic | 2.8 /100 | #227 | Tragic 14.5% |
| Central American | 0.1 /100 | #267 | Tragic 15.5% |
| Central American Indian | 0.0 /100 | #322 | Tragic 18.2% |
| Cherokee | 0.0 /100 | #310 | Tragic 17.2% |
| Cheyenne | 0.0 /100 | #327 | Tragic 19.1% |
| Chickasaw | 0.0 /100 | #306 | Tragic 17.0% |
| Chilean | 93.2 /100 | #116 | Exceptional 12.8% |
| Chinese | 100.0 /100 | #7 | Exceptional 11.0% |
| Chippewa | 0.0 /100 | #320 | Tragic 18.0% |
| Choctaw | 0.0 /100 | #321 | Tragic 18.1% |
| Colombian | 77.2 /100 | #145 | Good 13.2% |
| Colville | 0.0 /100 | #313 | Tragic 17.5% |
| Comanche | 0.0 /100 | #291 | Tragic 16.5% |
| Costa Rican | 75.8 /100 | #151 | Good 13.2% |
| Cree | 0.1 /100 | #271 | Tragic 15.6% |
| Creek | 0.0 /100 | #329 | Tragic 19.2% |
| Croatian | 97.5 /100 | #86 | Exceptional 12.5% |
| Crow | 0.0 /100 | #337 | Tragic 22.7% |
| Cuban | 1.6 /100 | #234 | Tragic 14.7% |
| Cypriot | 99.9 /100 | #30 | Exceptional 11.5% |
| Czech | 90.3 /100 | #127 | Exceptional 12.9% |
| Czechoslovakian | 36.8 /100 | #184 | Fair 13.7% |
| Danish | 93.9 /100 | #111 | Exceptional 12.8% |
| Delaware | 2.3 /100 | #231 | Tragic 14.6% |
| Dominican | 0.0 /100 | #316 | Tragic 17.6% |
| Dutch | 29.7 /100 | #190 | Fair 13.8% |
| Dutch West Indian | 0.0 /100 | #324 | Tragic 18.4% |
| Eastern European | 99.6 /100 | #54 | Exceptional 12.0% |
| Ecuadorian | 5.2 /100 | #219 | Tragic 14.3% |
| Egyptian | 99.7 /100 | #43 | Exceptional 11.9% |
| English | 20.4 /100 | #199 | Fair 13.9% |
| Estonian | 98.9 /100 | #75 | Exceptional 12.3% |
| Ethiopian | 98.0 /100 | #82 | Exceptional 12.4% |
| European | 76.8 /100 | #147 | Good 13.2% |
| Fijian | 0.0 /100 | #279 | Tragic 15.9% |
| Filipino | 100.0 /100 | #3 | Exceptional 10.2% |
| Finnish | 32.5 /100 | #189 | Fair 13.7% |
| French | 6.2 /100 | #214 | Tragic 14.3% |
| French American Indian | 0.0 /100 | #278 | Tragic 15.9% |
| French Canadian | 5.5 /100 | #216 | Tragic 14.3% |
| German | 41.6 /100 | #180 | Average 13.6% |
| German Russian | 0.8 /100 | #247 | Tragic 14.9% |
| Ghanaian | 4.8 /100 | #220 | Tragic 14.4% |
| Greek | 98.9 /100 | #76 | Exceptional 12.3% |
| Guamanian/Chamorro | 41.5 /100 | #181 | Average 13.6% |
| Guatemalan | 0.0 /100 | #288 | Tragic 16.4% |
| Guyanese | 8.6 /100 | #209 | Tragic 14.2% |
| Haitian | 0.5 /100 | #251 | Tragic 15.0% |
| Hmong | 20.3 /100 | #200 | Fair 13.9% |
| Honduran | 0.0 /100 | #304 | Tragic 16.9% |
| Hopi | 0.0 /100 | #342 | Tragic 23.7% |
| Houma | 0.0 /100 | #338 | Tragic 22.7% |
| Hungarian | 11.8 /100 | #206 | Poor 14.1% |
| Icelander | 65.7 /100 | #161 | Good 13.3% |
| Indian (Asian) | 100.0 /100 | #14 | Exceptional 11.2% |
| Indonesian | 0.0 /100 | #290 | Tragic 16.4% |
| Inupiat | 0.0 /100 | #325 | Tragic 18.5% |
| Iranian | 100.0 /100 | #19 | Exceptional 11.2% |
| Iraqi | 76.0 /100 | #150 | Good 13.2% |
| Irish | 35.3 /100 | #185 | Fair 13.7% |
| Iroquois | 0.0 /100 | #312 | Tragic 17.5% |
| Israeli | 81.9 /100 | #143 | Excellent 13.1% |
| Italian | 97.2 /100 | #89 | Exceptional 12.5% |
| Jamaican | 1.0 /100 | #246 | Tragic 14.8% |
| Japanese | 11.7 /100 | #207 | Poor 14.1% |
| Jordanian | 99.4 /100 | #57 | Exceptional 12.1% |
| Kenyan | 51.8 /100 | #173 | Average 13.5% |
| Kiowa | 0.0 /100 | #331 | Tragic 19.7% |
| Korean | 99.6 /100 | #47 | Exceptional 12.0% |
| Laotian | 99.2 /100 | #67 | Exceptional 12.2% |
| Latvian | 99.8 /100 | #39 | Exceptional 11.8% |
| Lebanese | 76.8 /100 | #148 | Good 13.2% |
| Liberian | 0.2 /100 | #261 | Tragic 15.3% |
| Lithuanian | 99.1 /100 | #72 | Exceptional 12.2% |
| Lumbee | 0.0 /100 | #346 | Tragic 26.3% |
| Luxembourger | 99.5 /100 | #56 | Exceptional 12.1% |
| Macedonian | 99.7 /100 | #45 | Exceptional 11.9% |
| Malaysian | 1.4 /100 | #239 | Tragic 14.7% |
| Maltese | 99.9 /100 | #24 | Exceptional 11.4% |
| Marshallese | 0.2 /100 | #260 | Tragic 15.3% |
| Menominee | 0.0 /100 | #319 | Tragic 18.0% |
| Mexican | 0.0 /100 | #295 | Tragic 16.6% |
| Mexican American Indian | 0.2 /100 | #263 | Tragic 15.4% |
| Mongolian | 93.0 /100 | #118 | Exceptional 12.8% |
| Moroccan | 25.1 /100 | #194 | Fair 13.8% |
| Native Hawaiian | 78.9 /100 | #144 | Good 13.2% |
| Navajo | 0.0 /100 | #341 | Tragic 23.3% |
| Nepalese | 0.2 /100 | #258 | Tragic 15.2% |
| New Zealander | 83.4 /100 | #141 | Excellent 13.1% |
| Nicaraguan | 3.3 /100 | #226 | Tragic 14.5% |
| Nigerian | 4.2 /100 | #223 | Tragic 14.4% |
| Northern European | 73.7 /100 | #153 | Good 13.2% |
| Norwegian | 96.9 /100 | #91 | Exceptional 12.6% |
| Okinawan | 100.0 /100 | #20 | Exceptional 11.3% |
| Osage | 0.0 /100 | #289 | Tragic 16.4% |
| Ottawa | 0.0 /100 | #309 | Tragic 17.1% |
| Paiute | 0.0 /100 | #330 | Tragic 19.6% |
| Pakistani | 88.4 /100 | #131 | Excellent 13.0% |
| Palestinian | 96.9 /100 | #93 | Exceptional 12.6% |
| Panamanian | 8.6 /100 | #210 | Tragic 14.2% |
| Paraguayan | 99.6 /100 | #51 | Exceptional 12.0% |
| Pennsylvania German | 0.1 /100 | #264 | Tragic 15.4% |
| Peruvian | 95.6 /100 | #102 | Exceptional 12.7% |
| Pima | 0.0 /100 | #345 | Tragic 25.3% |
| Polish | 94.9 /100 | #107 | Exceptional 12.7% |
| Portuguese | 40.3 /100 | #183 | Average 13.6% |
| Potawatomi | 0.0 /100 | #293 | Tragic 16.5% |
| Pueblo | 0.0 /100 | #336 | Tragic 22.2% |
| Puerto Rican | 0.0 /100 | #347 | Tragic 26.3% |
| Puget Sound Salish | 6.5 /100 | #213 | Tragic 14.3% |
| Romanian | 92.8 /100 | #121 | Exceptional 12.8% |
| Russian | 99.4 /100 | #59 | Exceptional 12.1% |
| Salvadoran | 1.4 /100 | #236 | Tragic 14.7% |
| Samoan | 56.8 /100 | #169 | Average 13.5% |
| Scandinavian | 82.3 /100 | #142 | Excellent 13.1% |
| Scotch-Irish | 1.2 /100 | #241 | Tragic 14.8% |
| Scottish | 23.6 /100 | #196 | Fair 13.9% |
| Seminole | 0.0 /100 | #323 | Tragic 18.3% |
| Senegalese | 0.1 /100 | #272 | Tragic 15.6% |
| Serbian | 87.6 /100 | #133 | Excellent 13.0% |
| Shoshone | 0.0 /100 | #284 | Tragic 16.2% |
| Sierra Leonean | 76.3 /100 | #149 | Good 13.2% |
| Sioux | 0.0 /100 | #340 | Tragic 23.0% |
| Slavic | 75.7 /100 | #152 | Good 13.2% |
| Slovak | 34.1 /100 | #187 | Fair 13.7% |
| Slovene | 92.7 /100 | #123 | Exceptional 12.8% |
| Somali | 0.4 /100 | #254 | Tragic 15.1% |
| South African | 85.7 /100 | #135 | Excellent 13.0% |
| South American | 76.9 /100 | #146 | Good 13.2% |
| South American Indian | 51.9 /100 | #171 | Average 13.5% |
| Soviet Union | 99.3 /100 | #63 | Exceptional 12.1% |
| Spaniard | 2.3 /100 | #230 | Tragic 14.6% |
| Spanish | 2.5 /100 | #229 | Tragic 14.6% |
| Spanish American | 0.0 /100 | #299 | Tragic 16.7% |
| Spanish American Indian | 5.5 /100 | #217 | Tragic 14.3% |
| Sri Lankan | 99.1 /100 | #68 | Exceptional 12.2% |
| Subsaharan African | 0.1 /100 | #269 | Tragic 15.6% |
| Sudanese | 4.4 /100 | #221 | Tragic 14.4% |
| Swedish | 95.4 /100 | #104 | Exceptional 12.7% |
| Swiss | 61.7 /100 | #164 | Good 13.4% |
| Syrian | 90.2 /100 | #128 | Exceptional 12.9% |
| Taiwanese | 99.8 /100 | #37 | Exceptional 11.8% |
| Thai | 100.0 /100 | #4 | Exceptional 10.2% |
| Tlingit-Haida | 28.1 /100 | #192 | Fair 13.8% |
| Tohono O'Odham | 0.0 /100 | #344 | Tragic 24.7% |
| Tongan | 99.9 /100 | #26 | Exceptional 11.5% |
| Trinidadian and Tobagonian | 8.2 /100 | #211 | Tragic 14.2% |
| Tsimshian | 95.1 /100 | #106 | Exceptional 12.7% |
| Turkish | 100.0 /100 | #21 | Exceptional 11.4% |
| U.S. Virgin Islander | 0.0 /100 | #300 | Tragic 16.7% |
| Ugandan | 64.1 /100 | #162 | Good 13.4% |
| Ukrainian | 96.7 /100 | #95 | Exceptional 12.6% |
| Uruguayan | 66.9 /100 | #159 | Good 13.3% |
| Ute | 0.0 /100 | #318 | Tragic 17.9% |
| Venezuelan | 44.6 /100 | #177 | Average 13.6% |
| Vietnamese | 2.6 /100 | #228 | Tragic 14.6% |
| Welsh | 17.2 /100 | #202 | Poor 14.0% |
| West Indian | 0.3 /100 | #256 | Tragic 15.2% |
| Yakama | 0.0 /100 | #315 | Tragic 17.6% |
| Yaqui | 0.0 /100 | #307 | Tragic 17.0% |
| Yugoslavian | 45.0 /100 | #176 | Average 13.6% |
| Yuman | 0.0 /100 | #339 | Tragic 22.9% |
| Yup'ik | 0.0 /100 | #343 | Tragic 24.3% |
| Zimbabwean | 99.9 /100 | #34 | Exceptional 11.7% |
Female Poverty Among 25-34 Year Olds by Immigration
Top 20 Immigration Origins by Female Poverty Among 25-34 Year Olds
Top demographics by Female Poverty Among 25-34 Year Olds within the immigration category in the United States are Immigrants from India (9.7%, 100.0/100), Immigrants from Taiwan (10.0%, 100.0/100), Immigrants from Hong Kong (10.4%, 100.0/100), Immigrants from South Central Asia (10.8%, 100.0/100), and Immigrants from Iran (11.0%, 100.0/100).
| Immigration | Rating | Rank | Female Poverty Among 25-34 Year Olds |
| Nonimmigrants | 0.1 /100 | #273 | Tragic 15.6% |
| Immigrants | 14.5 /100 | #203 | Poor 14.0% |
| Afghanistan | 57.7 /100 | #168 | Average 13.4% |
| Africa | 13.4 /100 | #205 | Poor 14.1% |
| Albania | 97.1 /100 | #90 | Exceptional 12.5% |
| Argentina | 96.4 /100 | #99 | Exceptional 12.6% |
| Armenia | 96.9 /100 | #92 | Exceptional 12.6% |
| Asia | 99.9 /100 | #32 | Exceptional 11.6% |
| Australia | 99.7 /100 | #44 | Exceptional 11.9% |
| Austria | 97.4 /100 | #88 | Exceptional 12.5% |
| Bahamas | 0.0 /100 | #285 | Tragic 16.3% |
| Bangladesh | 1.1 /100 | #244 | Tragic 14.8% |
| Barbados | 3.4 /100 | #225 | Tragic 14.5% |
| Belarus | 99.6 /100 | #48 | Exceptional 12.0% |
| Belgium | 99.1 /100 | #70 | Exceptional 12.2% |
| Belize | 0.2 /100 | #262 | Tragic 15.3% |
| Bolivia | 100.0 /100 | #16 | Exceptional 11.2% |
| Bosnia and Herzegovina | 58.6 /100 | #167 | Average 13.4% |
| Brazil | 93.3 /100 | #115 | Exceptional 12.8% |
| Bulgaria | 99.8 /100 | #40 | Exceptional 11.8% |
| Burma/Myanmar | 0.3 /100 | #257 | Tragic 15.2% |
| Cabo Verde | 0.0 /100 | #305 | Tragic 16.9% |
| Cambodia | 24.0 /100 | #195 | Fair 13.9% |
| Cameroon | 72.0 /100 | #156 | Good 13.3% |
| Canada | 91.5 /100 | #125 | Exceptional 12.9% |
| Caribbean | 0.0 /100 | #274 | Tragic 15.7% |
| Central America | 0.0 /100 | #294 | Tragic 16.6% |
| Chile | 84.6 /100 | #137 | Excellent 13.1% |
| China | 100.0 /100 | #17 | Exceptional 11.2% |
| Colombia | 69.2 /100 | #158 | Good 13.3% |
| Congo | 0.0 /100 | #301 | Tragic 16.7% |
| Costa Rica | 51.9 /100 | #172 | Average 13.5% |
| Croatia | 99.6 /100 | #50 | Exceptional 12.0% |
| Cuba | 0.2 /100 | #259 | Tragic 15.2% |
| Czechoslovakia | 99.4 /100 | #61 | Exceptional 12.1% |
| Denmark | 95.7 /100 | #100 | Exceptional 12.7% |
| Dominica | 0.0 /100 | #292 | Tragic 16.5% |
| Dominican Republic | 0.0 /100 | #314 | Tragic 17.6% |
| Eastern Africa | 43.6 /100 | #179 | Average 13.6% |
| Eastern Asia | 100.0 /100 | #18 | Exceptional 11.2% |
| Eastern Europe | 99.6 /100 | #52 | Exceptional 12.0% |
| Ecuador | 1.9 /100 | #232 | Tragic 14.6% |
| Egypt | 99.6 /100 | #49 | Exceptional 12.0% |
| El Salvador | 0.5 /100 | #250 | Tragic 15.0% |
| England | 85.5 /100 | #136 | Excellent 13.0% |
| Eritrea | 32.7 /100 | #188 | Fair 13.7% |
| Ethiopia | 96.5 /100 | #98 | Exceptional 12.6% |
| Europe | 99.2 /100 | #66 | Exceptional 12.2% |
| Fiji | 91.2 /100 | #126 | Exceptional 12.9% |
| France | 96.8 /100 | #94 | Exceptional 12.6% |
| Germany | 20.9 /100 | #198 | Fair 13.9% |
| Ghana | 1.4 /100 | #237 | Tragic 14.7% |
| Greece | 99.9 /100 | #27 | Exceptional 11.5% |
| Grenada | 1.3 /100 | #240 | Tragic 14.7% |
| Guatemala | 0.0 /100 | #297 | Tragic 16.6% |
| Guyana | 6.6 /100 | #212 | Tragic 14.3% |
| Haiti | 0.5 /100 | #249 | Tragic 15.0% |
| Honduras | 0.0 /100 | #311 | Tragic 17.3% |
| Hong Kong | 100.0 /100 | #5 | Exceptional 10.4% |
| Hungary | 88.3 /100 | #132 | Excellent 13.0% |
| India | 100.0 /100 | #1 | Exceptional 9.7% |
| Indonesia | 99.8 /100 | #41 | Exceptional 11.8% |
| Iran | 100.0 /100 | #8 | Exceptional 11.0% |
| Iraq | 83.6 /100 | #140 | Excellent 13.1% |
| Ireland | 100.0 /100 | #12 | Exceptional 11.2% |
| Israel | 99.6 /100 | #53 | Exceptional 12.0% |
| Italy | 98.8 /100 | #77 | Exceptional 12.3% |
| Jamaica | 1.4 /100 | #235 | Tragic 14.7% |
| Japan | 99.9 /100 | #31 | Exceptional 11.6% |
| Jordan | 98.5 /100 | #79 | Exceptional 12.4% |
| Kazakhstan | 98.1 /100 | #81 | Exceptional 12.4% |
| Kenya | 28.0 /100 | #193 | Fair 13.8% |
| Korea | 100.0 /100 | #11 | Exceptional 11.1% |
| Kuwait | 93.1 /100 | #117 | Exceptional 12.8% |
| Laos | 0.3 /100 | #255 | Tragic 15.2% |
| Latin America | 0.0 /100 | #281 | Tragic 16.0% |
| Latvia | 97.7 /100 | #84 | Exceptional 12.5% |
| Lebanon | 99.1 /100 | #69 | Exceptional 12.2% |
| Liberia | 0.1 /100 | #265 | Tragic 15.4% |
| Lithuania | 100.0 /100 | #10 | Exceptional 11.1% |
| Malaysia | 98.3 /100 | #80 | Exceptional 12.4% |
| Mexico | 0.0 /100 | #303 | Tragic 16.8% |
| Micronesia | 0.0 /100 | #277 | Tragic 15.8% |
| Middle Africa | 1.0 /100 | #245 | Tragic 14.8% |
| Moldova | 99.3 /100 | #62 | Exceptional 12.1% |
| Morocco | 93.9 /100 | #112 | Exceptional 12.8% |
| Nepal | 93.0 /100 | #119 | Exceptional 12.8% |
| Netherlands | 92.0 /100 | #124 | Exceptional 12.8% |
| Nicaragua | 1.1 /100 | #243 | Tragic 14.8% |
| Nigeria | 6.2 /100 | #215 | Tragic 14.3% |
| North America | 89.7 /100 | #129 | Excellent 12.9% |
| North Macedonia | 99.8 /100 | #38 | Exceptional 11.8% |
| Northern Africa | 96.6 /100 | #97 | Exceptional 12.6% |
| Northern Europe | 99.4 /100 | #60 | Exceptional 12.1% |
| Norway | 94.4 /100 | #108 | Exceptional 12.7% |
| Oceania | 50.0 /100 | #174 | Average 13.5% |
| Pakistan | 99.9 /100 | #28 | Exceptional 11.5% |
| Panama | 11.6 /100 | #208 | Poor 14.1% |
| Peru | 94.3 /100 | #109 | Exceptional 12.7% |
| Philippines | 99.5 /100 | #55 | Exceptional 12.0% |
| Poland | 99.9 /100 | #33 | Exceptional 11.6% |
| Portugal | 4.3 /100 | #222 | Tragic 14.4% |
| Romania | 99.4 /100 | #58 | Exceptional 12.1% |
| Russia | 99.2 /100 | #64 | Exceptional 12.2% |
| Saudi Arabia | 21.9 /100 | #197 | Fair 13.9% |
| Scotland | 99.1 /100 | #71 | Exceptional 12.2% |
| Senegal | 0.1 /100 | #268 | Tragic 15.6% |
| Serbia | 99.7 /100 | #46 | Exceptional 11.9% |
| Sierra Leone | 72.9 /100 | #155 | Good 13.3% |
| Singapore | 100.0 /100 | #9 | Exceptional 11.1% |
| Somalia | 0.1 /100 | #266 | Tragic 15.4% |
| South Africa | 95.3 /100 | #105 | Exceptional 12.7% |
| South America | 66.3 /100 | #160 | Good 13.3% |
| South Central Asia | 100.0 /100 | #6 | Exceptional 10.8% |
| South Eastern Asia | 97.6 /100 | #85 | Exceptional 12.5% |
| Southern Europe | 93.6 /100 | #114 | Exceptional 12.8% |
| Spain | 95.5 /100 | #103 | Exceptional 12.7% |
| Sri Lanka | 99.8 /100 | #36 | Exceptional 11.8% |
| St. Vincent and the Grenadines | 29.3 /100 | #191 | Fair 13.8% |
| Sudan | 4.0 /100 | #224 | Tragic 14.4% |
| Sweden | 98.9 /100 | #74 | Exceptional 12.3% |
| Switzerland | 95.7 /100 | #101 | Exceptional 12.7% |
| Syria | 93.8 /100 | #113 | Exceptional 12.8% |
| Taiwan | 100.0 /100 | #2 | Exceptional 10.0% |
| Thailand | 5.2 /100 | #218 | Tragic 14.3% |
| Trinidad and Tobago | 17.6 /100 | #201 | Poor 14.0% |
| Turkey | 99.7 /100 | #42 | Exceptional 11.9% |
| Uganda | 53.0 /100 | #170 | Average 13.5% |
| Ukraine | 98.6 /100 | #78 | Exceptional 12.3% |
| Uruguay | 34.1 /100 | #186 | Fair 13.7% |
| Uzbekistan | 89.6 /100 | #130 | Excellent 12.9% |
| Venezuela | 40.7 /100 | #182 | Average 13.6% |
| Vietnam | 98.9 /100 | #73 | Exceptional 12.3% |
| West Indies | 0.4 /100 | #253 | Tragic 15.1% |
| Western Africa | 0.8 /100 | #248 | Tragic 14.9% |
| Western Asia | 92.7 /100 | #122 | Exceptional 12.8% |
| Western Europe | 70.3 /100 | #157 | Good 13.3% |
| Yemen | 0.0 /100 | #332 | Tragic 19.8% |
| Zaire | 0.0 /100 | #276 | Tragic 15.8% |
| Zimbabwe | 96.7 /100 | #96 | Exceptional 12.6% |
| Azores | 0.0 /100 | #275 | Tragic 15.8% |