Unemployment Among Ages 35 to 44 years by Race, Ethnicity and Immigration Origin
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Unemployment Among Ages 35 to 44 years
Common Questions
What are the top races in the United States with the lowest unemployment rate among population between the ages 35 and 44?
The top races in the United States with the lowest unemployment rate among population between the ages 35 and 44 are:
#1
Asians
4.4%
(97.4/100)
#2
Whites/Caucasians
4.6%
(64.9/100)
#3
Hawaiians
5.3%
(0.0/100)
What are the top ancestries in the United States with the lowest unemployment rate among population between the ages 35 and 44?
The top ancestries in the United States with the lowest unemployment rate among population between the ages 35 and 44 are:
#1
Thais
3.9%
(100.0/100)
#2
Norwegians
4.0%
(100.0/100)
#3
Filipinos
4.0%
(100.0/100)
#4
Danes
4.1%
(99.9/100)
#5
Sudanese
4.1%
(99.9/100)
What are the top immigration origins in the United States with the lowest unemployment rate among population between the ages 35 and 44?
The top immigration origins in the United States with the lowest unemployment rate among population between the ages 35 and 44 are:
#1
Immigrants from India
3.8%
(100.0/100)
#2
Immigrants from Taiwan
4.0%
(100.0/100)
#3
Immigrants from Venezuela
4.0%
(100.0/100)
#4
Immigrants from Cuba
4.1%
(99.9/100)
#5
Immigrants from South Central Asia
4.1%
(99.9/100)
Top 10 Demographics by Unemployment Among Ages 35 to 44 years
The best off demographics with the lowest unemployment rate among population between the ages 35 and 44 in the United States are Immigrants from India (3.8%, 100.0/100), Thai (3.9%, 100.0/100), Norwegian (4.0%, 100.0/100), Immigrants from Taiwan (4.0%, 100.0/100), and Filipino (4.0%, 100.0/100).
Bottom 10 Demographics by Unemployment Among Ages 35 to 44 years
The worst off demographics with the highest unemployment rate among population between the ages 35 and 44 in the United States are Yuman (16.9%, 0.0/100), Crow (15.7%, 0.0/100), Yup'ik (14.4%, 0.0/100), Pima (11.8%, 0.0/100), and Arapaho (10.3%, 0.0/100).
Unemployment Among Ages 35 to 44 years by Race
Top demographics by Unemployment Among Ages 35 to 44 years within the race category in the United States are Asians (4.4%, 97.4/100), Whites/Caucasians (4.6%, 64.9/100), and Hawaiians (5.3%, 0.0/100).
| Race | Rating | Rank | Unemployment Among Ages 35 to 44 years |
| Asian | 97.4 /100 | #54 | Exceptional 4.4% |
| Black/African American | 0.0 /100 | #315 | Tragic 6.1% |
| Hawaiian | 0.0 /100 | #268 | Tragic 5.3% |
| Hispanic or Latino | 0.0 /100 | #285 | Tragic 5.5% |
| Native/Alaskan | 0.0 /100 | #332 | Tragic 7.3% |
| White/Caucasian | 64.9 /100 | #155 | Good 4.6% |
Unemployment Among Ages 35 to 44 years by Ancestry
Top 20 Ancestries by Unemployment Among Ages 35 to 44 years
Top demographics by Unemployment Among Ages 35 to 44 years within the ancestry category in the United States are Thais (3.9%, 100.0/100), Norwegians (4.0%, 100.0/100), Filipinos (4.0%, 100.0/100), Danes (4.1%, 99.9/100), and Sudanese (4.1%, 99.9/100).
| Ancestry | Rating | Rank | Unemployment Among Ages 35 to 44 years |
| Afghan | 50.0 /100 | #174 | Average 4.7% |
| African | 0.0 /100 | #301 | Tragic 5.6% |
| Alaska Native | 0.0 /100 | #326 | Tragic 6.6% |
| Alaskan Athabascan | 0.0 /100 | #340 | Tragic 8.6% |
| Albanian | 63.0 /100 | #159 | Good 4.6% |
| Aleut | 0.0 /100 | #298 | Tragic 5.6% |
| Alsatian | 0.2 /100 | #248 | Tragic 5.2% |
| American | 6.2 /100 | #216 | Tragic 4.9% |
| Apache | 0.0 /100 | #336 | Tragic 8.4% |
| Arab | 53.1 /100 | #168 | Average 4.7% |
| Arapaho | 0.0 /100 | #343 | Tragic 10.3% |
| Argentinean | 96.8 /100 | #67 | Exceptional 4.4% |
| Armenian | 0.2 /100 | #252 | Tragic 5.2% |
| Assyrian/Chaldean/Syriac | 99.3 /100 | #27 | Exceptional 4.3% |
| Australian | 94.5 /100 | #90 | Exceptional 4.5% |
| Austrian | 97.1 /100 | #63 | Exceptional 4.4% |
| Bahamian | 0.4 /100 | #245 | Tragic 5.2% |
| Bangladeshi | 28.0 /100 | #195 | Fair 4.8% |
| Barbadian | 0.0 /100 | #306 | Tragic 5.7% |
| Basque | 86.3 /100 | #123 | Excellent 4.5% |
| Belgian | 98.7 /100 | #41 | Exceptional 4.3% |
| Belizean | 0.0 /100 | #305 | Tragic 5.7% |
| Bermudan | 3.9 /100 | #221 | Tragic 5.0% |
| Bhutanese | 98.2 /100 | #48 | Exceptional 4.4% |
| Blackfeet | 0.0 /100 | #270 | Tragic 5.3% |
| Bolivian | 99.9 /100 | #13 | Exceptional 4.1% |
| Brazilian | 39.5 /100 | #181 | Fair 4.7% |
| British | 98.3 /100 | #47 | Exceptional 4.4% |
| British West Indian | 0.0 /100 | #313 | Tragic 6.0% |
| Bulgarian | 99.3 /100 | #25 | Exceptional 4.3% |
| Burmese | 98.9 /100 | #38 | Exceptional 4.3% |
| Cajun | 0.0 /100 | #269 | Tragic 5.3% |
| Cambodian | 97.0 /100 | #65 | Exceptional 4.4% |
| Canadian | 75.9 /100 | #141 | Good 4.6% |
| Cape Verdean | 0.0 /100 | #327 | Tragic 6.6% |
| Carpatho Rusyn | 99.2 /100 | #31 | Exceptional 4.3% |
| Celtic | 61.7 /100 | #161 | Good 4.7% |
| Central American | 0.8 /100 | #236 | Tragic 5.1% |
| Central American Indian | 0.0 /100 | #293 | Tragic 5.6% |
| Cherokee | 0.2 /100 | #255 | Tragic 5.2% |
| Cheyenne | 0.0 /100 | #338 | Tragic 8.5% |
| Chickasaw | 5.7 /100 | #218 | Tragic 4.9% |
| Chilean | 97.3 /100 | #56 | Exceptional 4.4% |
| Chinese | 99.1 /100 | #32 | Exceptional 4.3% |
| Chippewa | 0.0 /100 | #321 | Tragic 6.2% |
| Choctaw | 0.1 /100 | #263 | Tragic 5.3% |
| Colombian | 80.8 /100 | #132 | Excellent 4.6% |
| Colville | 0.0 /100 | #318 | Tragic 6.2% |
| Comanche | 0.2 /100 | #251 | Tragic 5.2% |
| Costa Rican | 59.6 /100 | #162 | Average 4.7% |
| Cree | 0.0 /100 | #288 | Tragic 5.5% |
| Creek | 0.0 /100 | #274 | Tragic 5.4% |
| Croatian | 97.1 /100 | #61 | Exceptional 4.4% |
| Crow | 0.0 /100 | #346 | Tragic 15.7% |
| Cuban | 99.8 /100 | #16 | Exceptional 4.2% |
| Cypriot | 36.5 /100 | #186 | Fair 4.7% |
| Czech | 99.9 /100 | #14 | Exceptional 4.1% |
| Czechoslovakian | 83.4 /100 | #128 | Excellent 4.6% |
| Danish | 99.9 /100 | #9 | Exceptional 4.1% |
| Delaware | 0.5 /100 | #242 | Tragic 5.1% |
| Dominican | 0.0 /100 | #323 | Tragic 6.4% |
| Dutch | 96.1 /100 | #77 | Exceptional 4.4% |
| Dutch West Indian | 0.0 /100 | #291 | Tragic 5.5% |
| Eastern European | 98.7 /100 | #43 | Exceptional 4.3% |
| Ecuadorian | 0.0 /100 | #280 | Tragic 5.4% |
| Egyptian | 94.5 /100 | #89 | Exceptional 4.5% |
| English | 97.2 /100 | #58 | Exceptional 4.4% |
| Estonian | 94.3 /100 | #92 | Exceptional 4.5% |
| Ethiopian | 87.1 /100 | #120 | Excellent 4.5% |
| European | 99.2 /100 | #29 | Exceptional 4.3% |
| Fijian | 8.7 /100 | #212 | Tragic 4.9% |
| Filipino | 100.0 /100 | #5 | Exceptional 4.0% |
| Finnish | 91.6 /100 | #104 | Exceptional 4.5% |
| French | 55.6 /100 | #166 | Average 4.7% |
| French American Indian | 0.0 /100 | #287 | Tragic 5.5% |
| French Canadian | 16.5 /100 | #208 | Poor 4.8% |
| German | 98.7 /100 | #42 | Exceptional 4.3% |
| German Russian | 57.2 /100 | #165 | Average 4.7% |
| Ghanaian | 0.1 /100 | #264 | Tragic 5.3% |
| Greek | 97.1 /100 | #59 | Exceptional 4.4% |
| Guamanian/Chamorro | 0.9 /100 | #235 | Tragic 5.1% |
| Guatemalan | 0.4 /100 | #244 | Tragic 5.1% |
| Guyanese | 0.0 /100 | #310 | Tragic 5.9% |
| Haitian | 0.0 /100 | #284 | Tragic 5.5% |
| Hmong | 3.5 /100 | #222 | Tragic 5.0% |
| Honduran | 0.7 /100 | #238 | Tragic 5.1% |
| Hopi | 0.0 /100 | #341 | Tragic 8.9% |
| Houma | 0.0 /100 | #334 | Tragic 7.8% |
| Hungarian | 62.6 /100 | #160 | Good 4.6% |
| Icelander | 96.8 /100 | #66 | Exceptional 4.4% |
| Indian (Asian) | 96.0 /100 | #78 | Exceptional 4.4% |
| Indonesian | 51.7 /100 | #171 | Average 4.7% |
| Inupiat | 0.0 /100 | #339 | Tragic 8.6% |
| Iranian | 93.9 /100 | #93 | Exceptional 4.5% |
| Iraqi | 50.9 /100 | #173 | Average 4.7% |
| Irish | 87.9 /100 | #118 | Excellent 4.5% |
| Iroquois | 1.2 /100 | #232 | Tragic 5.1% |
| Israeli | 38.5 /100 | #182 | Fair 4.7% |
| Italian | 91.9 /100 | #100 | Exceptional 4.5% |
| Jamaican | 0.0 /100 | #290 | Tragic 5.5% |
| Japanese | 1.2 /100 | #231 | Tragic 5.1% |
| Jordanian | 99.0 /100 | #34 | Exceptional 4.3% |
| Kenyan | 95.7 /100 | #80 | Exceptional 4.4% |
| Kiowa | 0.8 /100 | #237 | Tragic 5.1% |
| Korean | 28.1 /100 | #194 | Fair 4.8% |
| Laotian | 80.1 /100 | #134 | Excellent 4.6% |
| Latvian | 99.8 /100 | #18 | Exceptional 4.2% |
| Lebanese | 51.4 /100 | #172 | Average 4.7% |
| Liberian | 1.3 /100 | #230 | Tragic 5.1% |
| Lithuanian | 96.5 /100 | #73 | Exceptional 4.4% |
| Lumbee | 0.0 /100 | #278 | Tragic 5.4% |
| Luxembourger | 99.0 /100 | #35 | Exceptional 4.3% |
| Macedonian | 88.3 /100 | #114 | Excellent 4.5% |
| Malaysian | 35.5 /100 | #187 | Fair 4.7% |
| Maltese | 88.1 /100 | #115 | Excellent 4.5% |
| Marshallese | 0.0 /100 | #311 | Tragic 5.9% |
| Menominee | 0.0 /100 | #324 | Tragic 6.5% |
| Mexican | 0.1 /100 | #259 | Tragic 5.3% |
| Mexican American Indian | 0.2 /100 | #253 | Tragic 5.2% |
| Mongolian | 98.9 /100 | #36 | Exceptional 4.3% |
| Moroccan | 6.0 /100 | #217 | Tragic 4.9% |
| Native Hawaiian | 0.0 /100 | #276 | Tragic 5.4% |
| Navajo | 0.0 /100 | #342 | Tragic 9.3% |
| Nepalese | 0.0 /100 | #302 | Tragic 5.6% |
| New Zealander | 90.3 /100 | #108 | Exceptional 4.5% |
| Nicaraguan | 87.6 /100 | #119 | Excellent 4.5% |
| Nigerian | 0.7 /100 | #239 | Tragic 5.1% |
| Northern European | 96.5 /100 | #72 | Exceptional 4.4% |
| Norwegian | 100.0 /100 | #3 | Exceptional 4.0% |
| Okinawan | 97.7 /100 | #52 | Exceptional 4.4% |
| Osage | 8.6 /100 | #213 | Tragic 4.9% |
| Ottawa | 0.0 /100 | #295 | Tragic 5.6% |
| Paiute | 0.0 /100 | #329 | Tragic 6.9% |
| Pakistani | 67.1 /100 | #152 | Good 4.6% |
| Palestinian | 98.8 /100 | #39 | Exceptional 4.3% |
| Panamanian | 2.9 /100 | #224 | Tragic 5.0% |
| Paraguayan | 99.6 /100 | #21 | Exceptional 4.2% |
| Pennsylvania German | 53.0 /100 | #169 | Average 4.7% |
| Peruvian | 54.4 /100 | #167 | Average 4.7% |
| Pima | 0.0 /100 | #344 | Tragic 11.8% |
| Polish | 96.4 /100 | #74 | Exceptional 4.4% |
| Portuguese | 1.1 /100 | #234 | Tragic 5.1% |
| Potawatomi | 2.5 /100 | #226 | Tragic 5.0% |
| Pueblo | 0.0 /100 | #331 | Tragic 7.1% |
| Puerto Rican | 0.0 /100 | #333 | Tragic 7.6% |
| Puget Sound Salish | 67.1 /100 | #151 | Good 4.6% |
| Romanian | 90.3 /100 | #109 | Exceptional 4.5% |
| Russian | 93.8 /100 | #94 | Exceptional 4.5% |
| Salvadoran | 0.4 /100 | #243 | Tragic 5.1% |
| Samoan | 1.8 /100 | #228 | Tragic 5.0% |
| Scandinavian | 99.5 /100 | #22 | Exceptional 4.2% |
| Scotch-Irish | 79.3 /100 | #136 | Good 4.6% |
| Scottish | 93.5 /100 | #96 | Exceptional 4.5% |
| Seminole | 0.1 /100 | #256 | Tragic 5.2% |
| Senegalese | 0.0 /100 | #272 | Tragic 5.3% |
| Serbian | 94.9 /100 | #86 | Exceptional 4.4% |
| Shoshone | 0.0 /100 | #328 | Tragic 6.6% |
| Sierra Leonean | 4.8 /100 | #219 | Tragic 4.9% |
| Sioux | 0.0 /100 | #335 | Tragic 8.4% |
| Slavic | 72.4 /100 | #148 | Good 4.6% |
| Slovak | 44.6 /100 | #177 | Average 4.7% |
| Slovene | 96.7 /100 | #69 | Exceptional 4.4% |
| Somali | 0.7 /100 | #240 | Tragic 5.1% |
| South African | 58.5 /100 | #163 | Average 4.7% |
| South American | 63.7 /100 | #156 | Good 4.6% |
| South American Indian | 40.7 /100 | #178 | Average 4.7% |
| Soviet Union | 18.4 /100 | #206 | Poor 4.8% |
| Spaniard | 18.7 /100 | #205 | Poor 4.8% |
| Spanish | 30.4 /100 | #193 | Fair 4.8% |
| Spanish American | 0.1 /100 | #261 | Tragic 5.3% |
| Spanish American Indian | 0.0 /100 | #289 | Tragic 5.5% |
| Sri Lankan | 86.8 /100 | #122 | Excellent 4.5% |
| Subsaharan African | 0.1 /100 | #260 | Tragic 5.3% |
| Sudanese | 99.9 /100 | #11 | Exceptional 4.1% |
| Swedish | 99.8 /100 | #17 | Exceptional 4.2% |
| Swiss | 98.2 /100 | #49 | Exceptional 4.4% |
| Syrian | 80.7 /100 | #133 | Excellent 4.6% |
| Taiwanese | 97.1 /100 | #60 | Exceptional 4.4% |
| Thai | 100.0 /100 | #2 | Exceptional 3.9% |
| Tlingit-Haida | 99.5 /100 | #24 | Exceptional 4.3% |
| Tohono O'Odham | 0.0 /100 | #337 | Tragic 8.4% |
| Tongan | 99.8 /100 | #15 | Exceptional 4.2% |
| Trinidadian and Tobagonian | 0.0 /100 | #294 | Tragic 5.6% |
| Tsimshian | 0.0 /100 | #316 | Tragic 6.2% |
| Turkish | 99.3 /100 | #26 | Exceptional 4.3% |
| U.S. Virgin Islander | 0.0 /100 | #297 | Tragic 5.6% |
| Ugandan | 21.4 /100 | #201 | Fair 4.8% |
| Ukrainian | 75.8 /100 | #142 | Good 4.6% |
| Uruguayan | 20.0 /100 | #203 | Fair 4.8% |
| Ute | 0.0 /100 | #271 | Tragic 5.3% |
| Venezuelan | 99.9 /100 | #12 | Exceptional 4.1% |
| Vietnamese | 0.0 /100 | #273 | Tragic 5.4% |
| Welsh | 91.6 /100 | #103 | Exceptional 4.5% |
| West Indian | 0.0 /100 | #304 | Tragic 5.7% |
| Yakama | 0.0 /100 | #303 | Tragic 5.6% |
| Yaqui | 0.1 /100 | #265 | Tragic 5.3% |
| Yugoslavian | 93.6 /100 | #95 | Exceptional 4.5% |
| Yuman | 0.0 /100 | #347 | Tragic 16.9% |
| Yup'ik | 0.0 /100 | #345 | Tragic 14.4% |
| Zimbabwean | 98.8 /100 | #40 | Exceptional 4.3% |
Unemployment Among Ages 35 to 44 years by Immigration
Top 20 Immigration Origins by Unemployment Among Ages 35 to 44 years
Top demographics by Unemployment Among Ages 35 to 44 years within the immigration category in the United States are Immigrants from India (3.8%, 100.0/100), Immigrants from Taiwan (4.0%, 100.0/100), Immigrants from Venezuela (4.0%, 100.0/100), Immigrants from Cuba (4.1%, 99.9/100), and Immigrants from South Central Asia (4.1%, 99.9/100).
| Immigration | Rating | Rank | Unemployment Among Ages 35 to 44 years |
| Nonimmigrants | 9.4 /100 | #211 | Tragic 4.9% |
| Immigrants | 8.0 /100 | #215 | Tragic 4.9% |
| Afghanistan | 20.2 /100 | #202 | Fair 4.8% |
| Africa | 8.2 /100 | #214 | Tragic 4.9% |
| Albania | 30.5 /100 | #192 | Fair 4.8% |
| Argentina | 97.6 /100 | #53 | Exceptional 4.4% |
| Armenia | 0.0 /100 | #320 | Tragic 6.2% |
| Asia | 95.6 /100 | #82 | Exceptional 4.4% |
| Australia | 95.3 /100 | #83 | Exceptional 4.4% |
| Austria | 84.7 /100 | #126 | Excellent 4.5% |
| Bahamas | 0.2 /100 | #254 | Tragic 5.2% |
| Bangladesh | 0.1 /100 | #266 | Tragic 5.3% |
| Barbados | 0.0 /100 | #309 | Tragic 5.8% |
| Belarus | 63.4 /100 | #157 | Good 4.6% |
| Belgium | 98.4 /100 | #46 | Exceptional 4.3% |
| Belize | 0.0 /100 | #307 | Tragic 5.8% |
| Bolivia | 99.7 /100 | #20 | Exceptional 4.2% |
| Bosnia and Herzegovina | 94.8 /100 | #87 | Exceptional 4.4% |
| Brazil | 67.0 /100 | #153 | Good 4.6% |
| Bulgaria | 97.1 /100 | #62 | Exceptional 4.4% |
| Burma/Myanmar | 72.2 /100 | #149 | Good 4.6% |
| Cabo Verde | 0.0 /100 | #330 | Tragic 6.9% |
| Cambodia | 1.5 /100 | #229 | Tragic 5.0% |
| Cameroon | 11.4 /100 | #210 | Poor 4.9% |
| Canada | 92.3 /100 | #98 | Exceptional 4.5% |
| Caribbean | 0.0 /100 | #277 | Tragic 5.4% |
| Central America | 0.1 /100 | #262 | Tragic 5.3% |
| Chile | 95.2 /100 | #84 | Exceptional 4.4% |
| China | 96.7 /100 | #70 | Exceptional 4.4% |
| Colombia | 82.6 /100 | #131 | Excellent 4.6% |
| Congo | 33.9 /100 | #189 | Fair 4.7% |
| Costa Rica | 37.0 /100 | #185 | Fair 4.7% |
| Croatia | 83.1 /100 | #129 | Excellent 4.6% |
| Cuba | 99.9 /100 | #7 | Exceptional 4.1% |
| Czechoslovakia | 89.2 /100 | #112 | Excellent 4.5% |
| Denmark | 74.4 /100 | #146 | Good 4.6% |
| Dominica | 0.0 /100 | #314 | Tragic 6.0% |
| Dominican Republic | 0.0 /100 | #322 | Tragic 6.4% |
| Eastern Africa | 76.0 /100 | #140 | Good 4.6% |
| Eastern Asia | 97.8 /100 | #51 | Exceptional 4.4% |
| Eastern Europe | 74.7 /100 | #145 | Good 4.6% |
| Ecuador | 0.0 /100 | #283 | Tragic 5.4% |
| Egypt | 92.3 /100 | #99 | Exceptional 4.5% |
| El Salvador | 0.2 /100 | #250 | Tragic 5.2% |
| England | 70.5 /100 | #150 | Good 4.6% |
| Eritrea | 82.8 /100 | #130 | Excellent 4.6% |
| Ethiopia | 84.7 /100 | #127 | Excellent 4.5% |
| Europe | 79.4 /100 | #135 | Good 4.6% |
| Fiji | 0.1 /100 | #257 | Tragic 5.3% |
| France | 92.5 /100 | #97 | Exceptional 4.5% |
| Germany | 48.9 /100 | #175 | Average 4.7% |
| Ghana | 0.0 /100 | #282 | Tragic 5.4% |
| Greece | 87.9 /100 | #117 | Excellent 4.5% |
| Grenada | 0.0 /100 | #319 | Tragic 6.2% |
| Guatemala | 0.4 /100 | #246 | Tragic 5.2% |
| Guyana | 0.0 /100 | #312 | Tragic 6.0% |
| Haiti | 0.0 /100 | #292 | Tragic 5.5% |
| Honduras | 0.6 /100 | #241 | Tragic 5.1% |
| Hong Kong | 97.2 /100 | #57 | Exceptional 4.4% |
| Hungary | 76.3 /100 | #139 | Good 4.6% |
| India | 100.0 /100 | #1 | Exceptional 3.8% |
| Indonesia | 52.6 /100 | #170 | Average 4.7% |
| Iran | 63.1 /100 | #158 | Good 4.6% |
| Iraq | 78.9 /100 | #137 | Good 4.6% |
| Ireland | 96.8 /100 | #68 | Exceptional 4.4% |
| Israel | 88.1 /100 | #116 | Excellent 4.5% |
| Italy | 88.4 /100 | #113 | Excellent 4.5% |
| Jamaica | 0.0 /100 | #299 | Tragic 5.6% |
| Japan | 99.3 /100 | #28 | Exceptional 4.3% |
| Jordan | 96.3 /100 | #76 | Exceptional 4.4% |
| Kazakhstan | 90.0 /100 | #110 | Excellent 4.5% |
| Kenya | 95.0 /100 | #85 | Exceptional 4.4% |
| Korea | 98.4 /100 | #45 | Exceptional 4.3% |
| Kuwait | 99.5 /100 | #23 | Exceptional 4.3% |
| Laos | 34.5 /100 | #188 | Fair 4.7% |
| Latin America | 0.1 /100 | #258 | Tragic 5.3% |
| Latvia | 94.8 /100 | #88 | Exceptional 4.4% |
| Lebanon | 2.7 /100 | #225 | Tragic 5.0% |
| Liberia | 0.2 /100 | #249 | Tragic 5.2% |
| Lithuania | 96.7 /100 | #71 | Exceptional 4.4% |
| Malaysia | 98.7 /100 | #44 | Exceptional 4.3% |
| Mexico | 0.0 /100 | #275 | Tragic 5.4% |
| Micronesia | 0.0 /100 | #286 | Tragic 5.5% |
| Middle Africa | 21.9 /100 | #199 | Fair 4.8% |
| Moldova | 97.3 /100 | #55 | Exceptional 4.4% |
| Morocco | 57.2 /100 | #164 | Average 4.7% |
| Nepal | 99.7 /100 | #19 | Exceptional 4.2% |
| Netherlands | 91.9 /100 | #101 | Exceptional 4.5% |
| Nicaragua | 89.8 /100 | #111 | Excellent 4.5% |
| Nigeria | 1.2 /100 | #233 | Tragic 5.1% |
| North America | 91.1 /100 | #106 | Exceptional 4.5% |
| North Macedonia | 90.7 /100 | #107 | Exceptional 4.5% |
| Northern Africa | 86.1 /100 | #125 | Excellent 4.5% |
| Northern Europe | 94.3 /100 | #91 | Exceptional 4.5% |
| Norway | 77.5 /100 | #138 | Good 4.6% |
| Oceania | 23.2 /100 | #197 | Fair 4.8% |
| Pakistan | 99.2 /100 | #30 | Exceptional 4.3% |
| Panama | 3.3 /100 | #223 | Tragic 5.0% |
| Peru | 39.9 /100 | #180 | Fair 4.7% |
| Philippines | 19.8 /100 | #204 | Poor 4.8% |
| Poland | 37.9 /100 | #183 | Fair 4.7% |
| Portugal | 0.0 /100 | #281 | Tragic 5.4% |
| Romania | 96.3 /100 | #75 | Exceptional 4.4% |
| Russia | 75.4 /100 | #144 | Good 4.6% |
| Saudi Arabia | 91.3 /100 | #105 | Exceptional 4.5% |
| Scotland | 95.6 /100 | #81 | Exceptional 4.4% |
| Senegal | 0.0 /100 | #279 | Tragic 5.4% |
| Serbia | 97.0 /100 | #64 | Exceptional 4.4% |
| Sierra Leone | 4.7 /100 | #220 | Tragic 4.9% |
| Singapore | 99.9 /100 | #10 | Exceptional 4.1% |
| Somalia | 0.3 /100 | #247 | Tragic 5.2% |
| South Africa | 86.8 /100 | #121 | Excellent 4.5% |
| South America | 33.8 /100 | #191 | Fair 4.7% |
| South Central Asia | 99.9 /100 | #8 | Exceptional 4.1% |
| South Eastern Asia | 40.2 /100 | #179 | Average 4.7% |
| Southern Europe | 33.8 /100 | #190 | Fair 4.7% |
| Spain | 86.1 /100 | #124 | Excellent 4.5% |
| Sri Lanka | 99.1 /100 | #33 | Exceptional 4.3% |
| St. Vincent and the Grenadines | 0.0 /100 | #317 | Tragic 6.2% |
| Sudan | 91.8 /100 | #102 | Exceptional 4.5% |
| Sweden | 95.9 /100 | #79 | Exceptional 4.4% |
| Switzerland | 75.5 /100 | #143 | Good 4.6% |
| Syria | 23.6 /100 | #196 | Fair 4.8% |
| Taiwan | 100.0 /100 | #4 | Exceptional 4.0% |
| Thailand | 22.9 /100 | #198 | Fair 4.8% |
| Trinidad and Tobago | 0.0 /100 | #296 | Tragic 5.6% |
| Turkey | 97.8 /100 | #50 | Exceptional 4.4% |
| Uganda | 48.1 /100 | #176 | Average 4.7% |
| Ukraine | 21.4 /100 | #200 | Fair 4.8% |
| Uruguay | 11.5 /100 | #209 | Poor 4.9% |
| Uzbekistan | 1.9 /100 | #227 | Tragic 5.0% |
| Venezuela | 100.0 /100 | #6 | Exceptional 4.0% |
| Vietnam | 73.8 /100 | #147 | Good 4.6% |
| West Indies | 0.0 /100 | #300 | Tragic 5.6% |
| Western Africa | 0.0 /100 | #267 | Tragic 5.3% |
| Western Asia | 16.6 /100 | #207 | Poor 4.8% |
| Western Europe | 65.5 /100 | #154 | Good 4.6% |
| Yemen | 0.0 /100 | #325 | Tragic 6.6% |
| Zaire | 37.3 /100 | #184 | Fair 4.7% |
| Zimbabwe | 98.9 /100 | #37 | Exceptional 4.3% |
| Azores | 0.0 /100 | #308 | Tragic 5.8% |