Unemployment Among Ages 30 to 34 years by Race, Ethnicity and Immigration Origin
SELECT DEMOGRAPHIC
Select Demographic
Unemployment Among Ages 30 to 34 years
Common Questions
What are the top races in the United States with the lowest unemployment rate among population between the ages 30 and 34?
The top races in the United States with the lowest unemployment rate among population between the ages 30 and 34 are:
#1
Asians
5.1%
(97.2/100)
#2
Whites/Caucasians
5.7%
(9.2/100)
#3
Hawaiians
5.9%
(1.2/100)
What are the top ancestries in the United States with the lowest unemployment rate among population between the ages 30 and 34?
The top ancestries in the United States with the lowest unemployment rate among population between the ages 30 and 34 are:
#1
Sudanese
4.6%
(100.0/100)
#2
Venezuelans
4.7%
(100.0/100)
#3
Thais
4.7%
(100.0/100)
#4
Bulgarians
4.7%
(99.9/100)
#5
Tongans
4.8%
(99.9/100)
What are the top immigration origins in the United States with the lowest unemployment rate among population between the ages 30 and 34?
The top immigration origins in the United States with the lowest unemployment rate among population between the ages 30 and 34 are:
#1
Immigrants from India
4.5%
(100.0/100)
#2
Immigrants from Venezuela
4.6%
(100.0/100)
#3
Immigrants from Nepal
4.7%
(100.0/100)
#4
Immigrants from Bosnia and Herzegovina
4.7%
(100.0/100)
#5
Immigrants from Eritrea
4.7%
(100.0/100)
Top 10 Demographics by Unemployment Among Ages 30 to 34 years
The best off demographics with the lowest unemployment rate among population between the ages 30 and 34 in the United States are Immigrants from India (4.5%, 100.0/100), Sudanese (4.6%, 100.0/100), Immigrants from Venezuela (4.6%, 100.0/100), Immigrants from Nepal (4.7%, 100.0/100), and Venezuelan (4.7%, 100.0/100).
Bottom 10 Demographics by Unemployment Among Ages 30 to 34 years
The worst off demographics with the highest unemployment rate among population between the ages 30 and 34 in the United States are Yup'ik (18.5%, 0.0/100), Tsimshian (13.8%, 0.0/100), Arapaho (12.8%, 0.0/100), Hopi (11.9%, 0.0/100), and Inupiat (10.8%, 0.0/100).
Unemployment Among Ages 30 to 34 years by Race
Top demographics by Unemployment Among Ages 30 to 34 years within the race category in the United States are Asians (5.1%, 97.2/100), Whites/Caucasians (5.7%, 9.2/100), and Hawaiians (5.9%, 1.2/100).
| Race | Rating | Rank | Unemployment Among Ages 30 to 34 years |
| Asian | 97.2 /100 | #58 | Exceptional 5.1% |
| Black/African American | 0.0 /100 | #318 | Tragic 7.2% |
| Hawaiian | 1.2 /100 | #230 | Tragic 5.9% |
| Hispanic or Latino | 0.0 /100 | #283 | Tragic 6.4% |
| Native/Alaskan | 0.0 /100 | #332 | Tragic 8.2% |
| White/Caucasian | 9.2 /100 | #210 | Tragic 5.7% |
Unemployment Among Ages 30 to 34 years by Ancestry
Top 20 Ancestries by Unemployment Among Ages 30 to 34 years
Top demographics by Unemployment Among Ages 30 to 34 years within the ancestry category in the United States are Sudanese (4.6%, 100.0/100), Venezuelans (4.7%, 100.0/100), Thais (4.7%, 100.0/100), Bulgarians (4.7%, 99.9/100), and Tongans (4.8%, 99.9/100).
| Ancestry | Rating | Rank | Unemployment Among Ages 30 to 34 years |
| Afghan | 49.6 /100 | #175 | Average 5.5% |
| African | 0.0 /100 | #282 | Tragic 6.4% |
| Alaska Native | 0.0 /100 | #334 | Tragic 8.5% |
| Alaskan Athabascan | 0.0 /100 | #311 | Tragic 7.0% |
| Albanian | 63.7 /100 | #157 | Good 5.4% |
| Aleut | 0.0 /100 | #315 | Tragic 7.1% |
| Alsatian | 14.3 /100 | #206 | Poor 5.6% |
| American | 0.0 /100 | #265 | Tragic 6.2% |
| Apache | 0.0 /100 | #325 | Tragic 7.3% |
| Arab | 57.7 /100 | #163 | Average 5.4% |
| Arapaho | 0.0 /100 | #345 | Tragic 12.8% |
| Argentinean | 87.9 /100 | #105 | Excellent 5.3% |
| Armenian | 0.1 /100 | #254 | Tragic 6.1% |
| Assyrian/Chaldean/Syriac | 98.4 /100 | #48 | Exceptional 5.1% |
| Australian | 83.1 /100 | #117 | Excellent 5.3% |
| Austrian | 59.0 /100 | #161 | Average 5.4% |
| Bahamian | 0.0 /100 | #300 | Tragic 6.6% |
| Bangladeshi | 76.6 /100 | #134 | Good 5.3% |
| Barbadian | 0.0 /100 | #294 | Tragic 6.5% |
| Basque | 57.3 /100 | #164 | Average 5.4% |
| Belgian | 97.0 /100 | #63 | Exceptional 5.1% |
| Belizean | 0.0 /100 | #301 | Tragic 6.6% |
| Bermudan | 2.7 /100 | #223 | Tragic 5.8% |
| Bhutanese | 93.5 /100 | #87 | Exceptional 5.2% |
| Blackfeet | 0.0 /100 | #272 | Tragic 6.3% |
| Bolivian | 99.8 /100 | #18 | Exceptional 4.9% |
| Brazilian | 58.2 /100 | #162 | Average 5.4% |
| British | 89.1 /100 | #101 | Excellent 5.3% |
| British West Indian | 0.0 /100 | #312 | Tragic 7.0% |
| Bulgarian | 99.9 /100 | #9 | Exceptional 4.7% |
| Burmese | 96.5 /100 | #67 | Exceptional 5.1% |
| Cajun | 0.0 /100 | #303 | Tragic 6.7% |
| Cambodian | 99.9 /100 | #13 | Exceptional 4.8% |
| Canadian | 38.2 /100 | #186 | Fair 5.5% |
| Cape Verdean | 0.0 /100 | #320 | Tragic 7.2% |
| Carpatho Rusyn | 77.3 /100 | #132 | Good 5.3% |
| Celtic | 70.2 /100 | #146 | Good 5.4% |
| Central American | 0.6 /100 | #237 | Tragic 5.9% |
| Central American Indian | 0.0 /100 | #286 | Tragic 6.4% |
| Cherokee | 0.0 /100 | #280 | Tragic 6.4% |
| Cheyenne | 0.0 /100 | #329 | Tragic 7.8% |
| Chickasaw | 0.0 /100 | #264 | Tragic 6.2% |
| Chilean | 94.4 /100 | #81 | Exceptional 5.2% |
| Chinese | 97.7 /100 | #55 | Exceptional 5.1% |
| Chippewa | 0.0 /100 | #328 | Tragic 7.8% |
| Choctaw | 0.0 /100 | #285 | Tragic 6.4% |
| Colombian | 68.7 /100 | #150 | Good 5.4% |
| Colville | 0.0 /100 | #336 | Tragic 9.0% |
| Comanche | 0.0 /100 | #271 | Tragic 6.3% |
| Costa Rican | 46.7 /100 | #179 | Average 5.5% |
| Cree | 0.0 /100 | #279 | Tragic 6.4% |
| Creek | 0.0 /100 | #297 | Tragic 6.6% |
| Croatian | 87.6 /100 | #106 | Excellent 5.3% |
| Crow | 0.0 /100 | #340 | Tragic 10.3% |
| Cuban | 98.1 /100 | #53 | Exceptional 5.1% |
| Cypriot | 98.4 /100 | #47 | Exceptional 5.1% |
| Czech | 99.2 /100 | #36 | Exceptional 5.0% |
| Czechoslovakian | 63.7 /100 | #156 | Good 5.4% |
| Danish | 99.5 /100 | #27 | Exceptional 5.0% |
| Delaware | 0.0 /100 | #302 | Tragic 6.7% |
| Dominican | 0.0 /100 | #326 | Tragic 7.7% |
| Dutch | 52.6 /100 | #170 | Average 5.5% |
| Dutch West Indian | 0.0 /100 | #299 | Tragic 6.6% |
| Eastern European | 83.2 /100 | #116 | Excellent 5.3% |
| Ecuadorian | 0.0 /100 | #275 | Tragic 6.3% |
| Egyptian | 86.4 /100 | #110 | Excellent 5.3% |
| English | 54.8 /100 | #167 | Average 5.4% |
| Estonian | 83.7 /100 | #114 | Excellent 5.3% |
| Ethiopian | 99.8 /100 | #21 | Exceptional 4.9% |
| European | 91.7 /100 | #97 | Exceptional 5.2% |
| Fijian | 99.0 /100 | #39 | Exceptional 5.0% |
| Filipino | 99.9 /100 | #12 | Exceptional 4.8% |
| Finnish | 30.7 /100 | #195 | Fair 5.5% |
| French | 10.8 /100 | #209 | Poor 5.7% |
| French American Indian | 0.0 /100 | #269 | Tragic 6.3% |
| French Canadian | 4.4 /100 | #219 | Tragic 5.8% |
| German | 77.8 /100 | #130 | Good 5.3% |
| German Russian | 99.4 /100 | #29 | Exceptional 5.0% |
| Ghanaian | 0.3 /100 | #246 | Tragic 6.0% |
| Greek | 80.4 /100 | #125 | Excellent 5.3% |
| Guamanian/Chamorro | 3.9 /100 | #221 | Tragic 5.8% |
| Guatemalan | 0.4 /100 | #242 | Tragic 6.0% |
| Guyanese | 0.0 /100 | #319 | Tragic 7.2% |
| Haitian | 0.1 /100 | #259 | Tragic 6.1% |
| Hmong | 99.8 /100 | #23 | Exceptional 4.9% |
| Honduran | 0.3 /100 | #249 | Tragic 6.0% |
| Hopi | 0.0 /100 | #344 | Tragic 11.9% |
| Houma | 0.0 /100 | #316 | Tragic 7.2% |
| Hungarian | 43.1 /100 | #183 | Average 5.5% |
| Icelander | 87.2 /100 | #107 | Excellent 5.3% |
| Indian (Asian) | 97.0 /100 | #61 | Exceptional 5.1% |
| Indonesian | 95.1 /100 | #78 | Exceptional 5.2% |
| Inupiat | 0.0 /100 | #343 | Tragic 10.8% |
| Iranian | 96.0 /100 | #75 | Exceptional 5.2% |
| Iraqi | 92.6 /100 | #91 | Exceptional 5.2% |
| Irish | 31.3 /100 | #191 | Fair 5.5% |
| Iroquois | 1.0 /100 | #232 | Tragic 5.9% |
| Israeli | 12.8 /100 | #207 | Poor 5.6% |
| Italian | 45.5 /100 | #180 | Average 5.5% |
| Jamaican | 0.0 /100 | #291 | Tragic 6.5% |
| Japanese | 1.1 /100 | #231 | Tragic 5.9% |
| Jordanian | 96.5 /100 | #68 | Exceptional 5.1% |
| Kenyan | 92.1 /100 | #95 | Exceptional 5.2% |
| Kiowa | 0.0 /100 | #304 | Tragic 6.7% |
| Korean | 20.7 /100 | #203 | Fair 5.6% |
| Laotian | 92.4 /100 | #93 | Exceptional 5.2% |
| Latvian | 99.3 /100 | #34 | Exceptional 5.0% |
| Lebanese | 67.2 /100 | #152 | Good 5.4% |
| Liberian | 2.3 /100 | #226 | Tragic 5.8% |
| Lithuanian | 72.4 /100 | #139 | Good 5.4% |
| Lumbee | 0.0 /100 | #314 | Tragic 7.1% |
| Luxembourger | 99.9 /100 | #14 | Exceptional 4.8% |
| Macedonian | 47.1 /100 | #178 | Average 5.5% |
| Malaysian | 41.8 /100 | #184 | Average 5.5% |
| Maltese | 92.3 /100 | #94 | Exceptional 5.2% |
| Marshallese | 0.0 /100 | #322 | Tragic 7.2% |
| Menominee | 0.0 /100 | #289 | Tragic 6.4% |
| Mexican | 0.1 /100 | #258 | Tragic 6.1% |
| Mexican American Indian | 0.6 /100 | #238 | Tragic 5.9% |
| Mongolian | 91.7 /100 | #96 | Exceptional 5.2% |
| Moroccan | 31.2 /100 | #192 | Fair 5.5% |
| Native Hawaiian | 0.7 /100 | #236 | Tragic 5.9% |
| Navajo | 0.0 /100 | #341 | Tragic 10.6% |
| Nepalese | 0.8 /100 | #233 | Tragic 5.9% |
| New Zealander | 82.5 /100 | #119 | Excellent 5.3% |
| Nicaraguan | 26.6 /100 | #199 | Fair 5.6% |
| Nigerian | 0.3 /100 | #247 | Tragic 6.0% |
| Northern European | 87.9 /100 | #104 | Excellent 5.3% |
| Norwegian | 99.4 /100 | #30 | Exceptional 5.0% |
| Okinawan | 99.9 /100 | #15 | Exceptional 4.8% |
| Osage | 0.0 /100 | #278 | Tragic 6.3% |
| Ottawa | 0.0 /100 | #273 | Tragic 6.3% |
| Paiute | 0.0 /100 | #305 | Tragic 6.7% |
| Pakistani | 74.6 /100 | #136 | Good 5.4% |
| Palestinian | 75.1 /100 | #135 | Good 5.4% |
| Panamanian | 4.5 /100 | #218 | Tragic 5.8% |
| Paraguayan | 96.4 /100 | #71 | Exceptional 5.1% |
| Pennsylvania German | 0.0 /100 | #276 | Tragic 6.3% |
| Peruvian | 50.2 /100 | #173 | Average 5.5% |
| Pima | 0.0 /100 | #337 | Tragic 9.6% |
| Polish | 78.8 /100 | #129 | Good 5.3% |
| Portuguese | 0.8 /100 | #234 | Tragic 5.9% |
| Potawatomi | 0.2 /100 | #252 | Tragic 6.0% |
| Pueblo | 0.0 /100 | #333 | Tragic 8.3% |
| Puerto Rican | 0.0 /100 | #335 | Tragic 8.9% |
| Puget Sound Salish | 98.2 /100 | #50 | Exceptional 5.1% |
| Romanian | 82.3 /100 | #121 | Excellent 5.3% |
| Russian | 71.1 /100 | #143 | Good 5.4% |
| Salvadoran | 0.5 /100 | #240 | Tragic 6.0% |
| Samoan | 2.5 /100 | #225 | Tragic 5.8% |
| Scandinavian | 95.6 /100 | #76 | Exceptional 5.2% |
| Scotch-Irish | 8.6 /100 | #212 | Tragic 5.7% |
| Scottish | 51.8 /100 | #171 | Average 5.5% |
| Seminole | 0.0 /100 | #266 | Tragic 6.2% |
| Senegalese | 0.0 /100 | #288 | Tragic 6.4% |
| Serbian | 72.9 /100 | #138 | Good 5.4% |
| Shoshone | 0.0 /100 | #330 | Tragic 7.9% |
| Sierra Leonean | 3.9 /100 | #220 | Tragic 5.8% |
| Sioux | 0.0 /100 | #331 | Tragic 8.0% |
| Slavic | 30.9 /100 | #194 | Fair 5.5% |
| Slovak | 2.5 /100 | #224 | Tragic 5.8% |
| Slovene | 96.2 /100 | #73 | Exceptional 5.2% |
| Somali | 99.3 /100 | #31 | Exceptional 5.0% |
| South African | 66.5 /100 | #154 | Good 5.4% |
| South American | 52.9 /100 | #168 | Average 5.4% |
| South American Indian | 24.4 /100 | #201 | Fair 5.6% |
| Soviet Union | 98.8 /100 | #43 | Exceptional 5.0% |
| Spaniard | 3.2 /100 | #222 | Tragic 5.8% |
| Spanish | 1.8 /100 | #227 | Tragic 5.8% |
| Spanish American | 0.0 /100 | #263 | Tragic 6.2% |
| Spanish American Indian | 8.7 /100 | #211 | Tragic 5.7% |
| Sri Lankan | 99.0 /100 | #38 | Exceptional 5.0% |
| Subsaharan African | 0.3 /100 | #245 | Tragic 6.0% |
| Sudanese | 100.0 /100 | #2 | Exceptional 4.6% |
| Swedish | 97.1 /100 | #59 | Exceptional 5.1% |
| Swiss | 85.9 /100 | #112 | Excellent 5.3% |
| Syrian | 70.3 /100 | #145 | Good 5.4% |
| Taiwanese | 79.4 /100 | #127 | Good 5.3% |
| Thai | 100.0 /100 | #7 | Exceptional 4.7% |
| Tlingit-Haida | 0.2 /100 | #251 | Tragic 6.0% |
| Tohono O'Odham | 0.0 /100 | #339 | Tragic 9.8% |
| Tongan | 99.9 /100 | #10 | Exceptional 4.8% |
| Trinidadian and Tobagonian | 0.0 /100 | #295 | Tragic 6.5% |
| Tsimshian | 0.0 /100 | #346 | Tragic 13.8% |
| Turkish | 98.2 /100 | #51 | Exceptional 5.1% |
| U.S. Virgin Islander | 0.0 /100 | #274 | Tragic 6.3% |
| Ugandan | 99.7 /100 | #24 | Exceptional 4.9% |
| Ukrainian | 69.2 /100 | #147 | Good 5.4% |
| Uruguayan | 95.4 /100 | #77 | Exceptional 5.2% |
| Ute | 0.0 /100 | #313 | Tragic 7.0% |
| Venezuelan | 100.0 /100 | #5 | Exceptional 4.7% |
| Vietnamese | 0.0 /100 | #292 | Tragic 6.5% |
| Welsh | 56.3 /100 | #165 | Average 5.4% |
| West Indian | 0.0 /100 | #293 | Tragic 6.5% |
| Yakama | 0.0 /100 | #338 | Tragic 9.8% |
| Yaqui | 0.7 /100 | #235 | Tragic 5.9% |
| Yugoslavian | 98.6 /100 | #45 | Exceptional 5.1% |
| Yuman | 0.0 /100 | #342 | Tragic 10.6% |
| Yup'ik | 0.0 /100 | #347 | Tragic 18.5% |
| Zimbabwean | 99.9 /100 | #16 | Exceptional 4.8% |
Unemployment Among Ages 30 to 34 years by Immigration
Top 20 Immigration Origins by Unemployment Among Ages 30 to 34 years
Top demographics by Unemployment Among Ages 30 to 34 years within the immigration category in the United States are Immigrants from India (4.5%, 100.0/100), Immigrants from Venezuela (4.6%, 100.0/100), Immigrants from Nepal (4.7%, 100.0/100), Immigrants from Bosnia and Herzegovina (4.7%, 100.0/100), and Immigrants from Eritrea (4.7%, 100.0/100).
| Immigration | Rating | Rank | Unemployment Among Ages 30 to 34 years |
| Nonimmigrants | 0.2 /100 | #253 | Tragic 6.1% |
| Immigrants | 7.1 /100 | #213 | Tragic 5.7% |
| Afghanistan | 27.2 /100 | #198 | Fair 5.6% |
| Africa | 31.0 /100 | #193 | Fair 5.5% |
| Albania | 83.4 /100 | #115 | Excellent 5.3% |
| Argentina | 92.5 /100 | #92 | Exceptional 5.2% |
| Armenia | 0.0 /100 | #306 | Tragic 6.8% |
| Asia | 96.2 /100 | #74 | Exceptional 5.2% |
| Australia | 93.5 /100 | #86 | Exceptional 5.2% |
| Austria | 51.3 /100 | #172 | Average 5.5% |
| Bahamas | 1.8 /100 | #228 | Tragic 5.8% |
| Bangladesh | 0.0 /100 | #284 | Tragic 6.4% |
| Barbados | 0.0 /100 | #298 | Tragic 6.6% |
| Belarus | 62.7 /100 | #158 | Good 5.4% |
| Belgium | 98.7 /100 | #44 | Exceptional 5.1% |
| Belize | 0.0 /100 | #307 | Tragic 6.9% |
| Bolivia | 99.9 /100 | #11 | Exceptional 4.8% |
| Bosnia and Herzegovina | 100.0 /100 | #6 | Exceptional 4.7% |
| Brazil | 80.8 /100 | #124 | Excellent 5.3% |
| Bulgaria | 99.9 /100 | #17 | Exceptional 4.8% |
| Burma/Myanmar | 98.1 /100 | #52 | Exceptional 5.1% |
| Cabo Verde | 0.0 /100 | #317 | Tragic 7.2% |
| Cambodia | 5.8 /100 | #215 | Tragic 5.7% |
| Cameroon | 18.4 /100 | #204 | Poor 5.6% |
| Canada | 74.6 /100 | #137 | Good 5.4% |
| Caribbean | 0.0 /100 | #281 | Tragic 6.4% |
| Central America | 0.1 /100 | #262 | Tragic 6.2% |
| Chile | 86.7 /100 | #109 | Excellent 5.3% |
| China | 97.2 /100 | #57 | Exceptional 5.1% |
| Colombia | 68.9 /100 | #149 | Good 5.4% |
| Congo | 98.4 /100 | #46 | Exceptional 5.1% |
| Costa Rica | 14.4 /100 | #205 | Poor 5.6% |
| Croatia | 61.0 /100 | #159 | Good 5.4% |
| Cuba | 99.4 /100 | #28 | Exceptional 5.0% |
| Czechoslovakia | 89.5 /100 | #100 | Excellent 5.3% |
| Denmark | 43.4 /100 | #182 | Average 5.5% |
| Dominica | 0.0 /100 | #324 | Tragic 7.3% |
| Dominican Republic | 0.0 /100 | #327 | Tragic 7.7% |
| Eastern Africa | 98.9 /100 | #41 | Exceptional 5.0% |
| Eastern Asia | 96.9 /100 | #64 | Exceptional 5.1% |
| Eastern Europe | 77.4 /100 | #131 | Good 5.3% |
| Ecuador | 0.0 /100 | #277 | Tragic 6.3% |
| Egypt | 93.9 /100 | #85 | Exceptional 5.2% |
| El Salvador | 0.5 /100 | #241 | Tragic 6.0% |
| England | 35.7 /100 | #189 | Fair 5.5% |
| Eritrea | 100.0 /100 | #8 | Exceptional 4.7% |
| Ethiopia | 99.2 /100 | #35 | Exceptional 5.0% |
| Europe | 72.1 /100 | #141 | Good 5.4% |
| Fiji | 5.1 /100 | #217 | Tragic 5.7% |
| France | 97.0 /100 | #62 | Exceptional 5.1% |
| Germany | 22.9 /100 | #202 | Fair 5.6% |
| Ghana | 0.1 /100 | #256 | Tragic 6.1% |
| Greece | 72.0 /100 | #142 | Good 5.4% |
| Grenada | 0.0 /100 | #309 | Tragic 6.9% |
| Guatemala | 0.3 /100 | #248 | Tragic 6.0% |
| Guyana | 0.0 /100 | #321 | Tragic 7.2% |
| Haiti | 0.0 /100 | #268 | Tragic 6.2% |
| Honduras | 0.3 /100 | #250 | Tragic 6.0% |
| Hong Kong | 98.8 /100 | #42 | Exceptional 5.0% |
| Hungary | 66.1 /100 | #155 | Good 5.4% |
| India | 100.0 /100 | #1 | Exceptional 4.5% |
| Indonesia | 94.7 /100 | #80 | Exceptional 5.2% |
| Iran | 69.1 /100 | #148 | Good 5.4% |
| Iraq | 96.4 /100 | #70 | Exceptional 5.1% |
| Ireland | 90.6 /100 | #99 | Exceptional 5.2% |
| Israel | 52.9 /100 | #169 | Average 5.4% |
| Italy | 81.1 /100 | #123 | Excellent 5.3% |
| Jamaica | 0.0 /100 | #296 | Tragic 6.5% |
| Japan | 96.8 /100 | #65 | Exceptional 5.1% |
| Jordan | 88.8 /100 | #103 | Excellent 5.3% |
| Kazakhstan | 33.9 /100 | #190 | Fair 5.5% |
| Kenya | 93.3 /100 | #88 | Exceptional 5.2% |
| Korea | 94.1 /100 | #83 | Exceptional 5.2% |
| Kuwait | 99.5 /100 | #26 | Exceptional 5.0% |
| Laos | 50.0 /100 | #174 | Average 5.5% |
| Latin America | 0.1 /100 | #260 | Tragic 6.1% |
| Latvia | 94.2 /100 | #82 | Exceptional 5.2% |
| Lebanon | 43.5 /100 | #181 | Average 5.5% |
| Liberia | 0.4 /100 | #243 | Tragic 6.0% |
| Lithuania | 95.0 /100 | #79 | Exceptional 5.2% |
| Malaysia | 98.3 /100 | #49 | Exceptional 5.1% |
| Mexico | 0.0 /100 | #267 | Tragic 6.2% |
| Micronesia | 0.3 /100 | #244 | Tragic 6.0% |
| Middle Africa | 87.1 /100 | #108 | Excellent 5.3% |
| Moldova | 96.4 /100 | #72 | Exceptional 5.1% |
| Morocco | 97.9 /100 | #54 | Exceptional 5.1% |
| Nepal | 100.0 /100 | #4 | Exceptional 4.7% |
| Netherlands | 81.8 /100 | #122 | Excellent 5.3% |
| Nicaragua | 28.9 /100 | #197 | Fair 5.5% |
| Nigeria | 0.6 /100 | #239 | Tragic 6.0% |
| North America | 72.2 /100 | #140 | Good 5.4% |
| North Macedonia | 90.9 /100 | #98 | Exceptional 5.2% |
| Northern Africa | 96.4 /100 | #69 | Exceptional 5.1% |
| Northern Europe | 77.3 /100 | #133 | Good 5.3% |
| Norway | 36.1 /100 | #188 | Fair 5.5% |
| Oceania | 68.1 /100 | #151 | Good 5.4% |
| Pakistan | 86.2 /100 | #111 | Excellent 5.3% |
| Panama | 5.9 /100 | #214 | Tragic 5.7% |
| Peru | 48.0 /100 | #176 | Average 5.5% |
| Philippines | 11.5 /100 | #208 | Poor 5.7% |
| Poland | 82.4 /100 | #120 | Excellent 5.3% |
| Portugal | 0.1 /100 | #255 | Tragic 6.1% |
| Romania | 92.8 /100 | #90 | Exceptional 5.2% |
| Russia | 71.0 /100 | #144 | Good 5.4% |
| Saudi Arabia | 99.3 /100 | #33 | Exceptional 5.0% |
| Scotland | 59.3 /100 | #160 | Average 5.4% |
| Senegal | 0.0 /100 | #270 | Tragic 6.3% |
| Serbia | 97.4 /100 | #56 | Exceptional 5.1% |
| Sierra Leone | 0.1 /100 | #257 | Tragic 6.1% |
| Singapore | 99.5 /100 | #25 | Exceptional 5.0% |
| Somalia | 97.1 /100 | #60 | Exceptional 5.1% |
| South Africa | 83.0 /100 | #118 | Excellent 5.3% |
| South America | 29.8 /100 | #196 | Fair 5.5% |
| South Central Asia | 99.8 /100 | #22 | Exceptional 4.9% |
| South Eastern Asia | 66.5 /100 | #153 | Good 5.4% |
| Southern Europe | 25.8 /100 | #200 | Fair 5.6% |
| Spain | 85.6 /100 | #113 | Excellent 5.3% |
| Sri Lanka | 80.2 /100 | #126 | Excellent 5.3% |
| St. Vincent and the Grenadines | 0.0 /100 | #310 | Tragic 7.0% |
| Sudan | 99.8 /100 | #19 | Exceptional 4.9% |
| Sweden | 93.3 /100 | #89 | Exceptional 5.2% |
| Switzerland | 88.8 /100 | #102 | Excellent 5.3% |
| Syria | 5.5 /100 | #216 | Tragic 5.7% |
| Taiwan | 99.8 /100 | #20 | Exceptional 4.9% |
| Thailand | 55.6 /100 | #166 | Average 5.4% |
| Trinidad and Tobago | 0.0 /100 | #290 | Tragic 6.5% |
| Turkey | 99.0 /100 | #37 | Exceptional 5.0% |
| Uganda | 94.0 /100 | #84 | Exceptional 5.2% |
| Ukraine | 47.7 /100 | #177 | Average 5.5% |
| Uruguay | 79.3 /100 | #128 | Good 5.3% |
| Uzbekistan | 1.5 /100 | #229 | Tragic 5.9% |
| Venezuela | 100.0 /100 | #3 | Exceptional 4.6% |
| Vietnam | 98.9 /100 | #40 | Exceptional 5.0% |
| West Indies | 0.0 /100 | #287 | Tragic 6.4% |
| Western Africa | 0.1 /100 | #261 | Tragic 6.2% |
| Western Asia | 38.2 /100 | #187 | Fair 5.5% |
| Western Europe | 39.1 /100 | #185 | Fair 5.5% |
| Yemen | 0.0 /100 | #323 | Tragic 7.3% |
| Zaire | 99.3 /100 | #32 | Exceptional 5.0% |
| Zimbabwe | 96.7 /100 | #66 | Exceptional 5.1% |
| Azores | 0.0 /100 | #308 | Tragic 6.9% |