This entry provides the distribution of the population according to age. Information is included by sex and age group as follows: 0-14 years (children), 15-24 years (early working age), 25-54 years (prime working age), 55-64 years (mature working age), 65 years and over (elderly). The age structure of a population affects a nation's key socioeconomic issues. Countries with young populations (high percentage under age 15) need to invest more in schools, while countries with older populations (high percentage ages 65 and over) need to invest more in the health sector. The age structure can also be used to help predict potential political issues. For example, the rapid growth of a young adult population unable to find employment can lead to unrest.
| Country | AGE STRUCTURE(%) |
|---|---|
| Afghanistan |
0-14 years: 42% (male 6,793,832/female 6,579,388) 15-24 years: 22.2% (male 3,600,264/female 3,464,781) 25-54 years: 29.4% (male 4,771,323/female 4,586,963) 55-64 years: 3.9% (male 603,197/female 622,539) 65 years and over: 2.5% (male 371,753/female 428,808) (2014 est.) |
| Albania |
0-14 years: 19.3% (male 307,275/female 274,634) 15-24 years: 19.2% (male 297,851/female 282,498) 25-54 years: 40% (male 574,820/female 633,729) 55-64 years: 10.5% (male 157,014/female 158,602) 65 years and over: 11.1% (male 157,143/female 176,643) (2014 est.) |
| Algeria |
0-14 years: 28.4% (male 5,641,148/female 5,378,207) 15-24 years: 17.4% (male 3,451,069/female 3,291,166) 25-54 years: 42.8% (male 8,398,770/female 8,209,634) 55-64 years: 6.2% (male 1,230,865/female 1,186,832) 65 years and over: 5.2% (male 931,769/female 1,094,262) (2014 est.) |
| American Samoa |
0-14 years: 24.9% (male 6,671/female 6,917) 15-24 years: 20.2% (male 5,468/female 5,565) 25-54 years: 41.7% (male 11,694/female 11,056) 55-64 years: 8.2% (male 2,211/female 2,260) 65 years and over: 4.9% (male 1,234/female 1,441) (2014 est.) |
| Andorra |
0-14 years: 15.3% (male 6,708/female 6,379) 15-24 years: 9.2% (male 4,078/female 3,766) 25-54 years: 48.7% (male 21,395/female 20,231) 55-64 years: 12.5% (male 5,756/female 4,957) 65 years and over: 14.3% (male 6,145/female 6,043) (2014 est.) |
| Angola |
0-14 years: 43.2% (male 4,206,929/female 4,043,618) 15-24 years: 20.5% (male 1,992,955/female 1,923,932) 25-54 years: 29.3% (male 2,822,164/female 2,777,147) 55-64 years: 4% (male 370,181/female 389,885) 65 years and over: 2.9% (male 259,637/female 301,658) (2014 est.) |
| Anguilla |
0-14 years: 23.3% (male 1,918/female 1,826) 15-24 years: 14.1% (male 1,123/female 1,144) 25-54 years: 45% (male 3,269/female 3,965) 55-64 years: 9.4% (male 744/female 763) 65 years and over: 8.3% (male 658/female 676) (2014 est.) |
| Antigua and Barbuda |
0-14 years: 24.3% (male 11,289/female 10,932) 15-24 years: 16.8% (male 7,588/female 7,723) 25-54 years: 42.6% (male 17,789/female 21,137) 55-64 years: 8.9% (male 3,694/female 4,441) 65 years and over: 7.3% (male 2,886/female 3,816) (2014 est.) |
| Argentina |
0-14 years: 24.9% (male 5,486,989/female 5,233,968) 15-24 years: 15.7% (male 3,445,086/female 3,301,168) 25-54 years: 38.9% (male 8,345,893/female 8,391,445) 55-64 years: 9.1% (male 1,895,965/female 2,017,330) 65 years and over: 11.4% (male 2,036,545/female 2,869,985) (2014 est.) |
| Armenia |
0-14 years: 19.1% (male 312,955/female 272,065) 15-24 years: 15.2% (male 236,317/female 228,943) 25-54 years: 43.5% (male 638,141/female 693,397) 55-64 years: 11.7% (male 161,102/female 195,714) 65 years and over: 10.5% (male 128,568/female 193,429) (2014 est.) |
| Aruba |
0-14 years: 17.8% (male 9,852/female 9,797) 15-24 years: 13.5% (male 7,469/female 7,427) 25-54 years: 43% (male 22,981/female 24,615) 55-64 years: 13.5% (male 6,804/female 8,093) 65 years and over: 12.3% (male 5,346/female 8,279) (2014 est.) |
| Australia |
0-14 years: 18% (male 2,075,316/female 1,969,645) 15-24 years: 13.3% (male 1,534,947/female 1,457,250) 25-54 years: 41.8% (male 4,783,473/female 4,626,603) 55-64 years: 11.8% (male 1,321,246/female 1,341,329) 65 years and over: 15.1% (male 1,569,197/female 1,828,611) (2014 est.) |
| Austria |
0-14 years: 13.6% (male 573,146/female 546,596) 15-24 years: 11.6% (male 488,564/female 468,891) 25-54 years: 42.9% (male 1,766,729/female 1,756,880) 55-64 years: 12.7% (male 515,913/female 528,988) 65 years and over: 19.2% (male 670,750/female 906,605) (2014 est.) |
| Azerbaijan |
0-14 years: 22.7% (male 1,176,438/female 1,017,926) 15-24 years: 17.5% (male 877,773/female 818,380) 25-54 years: 45.1% (male 2,127,239/female 2,236,520) 55-64 years: 8.5% (male 379,081/female 442,970) 65 years and over: 6.3% (male 232,297/female 377,586) (2014 est.) |
| Bahamas, The |
0-14 years: 23.2% (male 37,962/female 36,857) 15-24 years: 17.4% (male 28,387/female 27,639) 25-54 years: 44.1% (male 70,765/female 71,038) 55-64 years: 8.3% (male 11,882/female 14,885) 65 years and over: 7% (male 8,591/female 13,828) (2014 est.) |
| Bahrain |
0-14 years: 19.7% (male 131,698/female 127,663) 15-24 years: 15.9% (male 117,156/female 91,477) 25-54 years: 56.2% (male 483,449/female 254,627) 55-64 years: 5.5% (male 47,172/female 25,354) 65 years and over: 2.7% (male 17,106/female 18,387) (2014 est.) |
| Bangladesh |
0-14 years: 32.3% (male 27,268,560/female 26,468,883) 15-24 years: 18.8% (male 14,637,526/female 16,630,766) 25-54 years: 38% (male 29,853,531/female 33,266,733) 55-64 years: 5.9% (male 4,964,130/female 4,870,447) 65 years and over: 5% (male 4,082,544/female 4,237,592) (2014 est.) |
| Barbados |
0-14 years: 18.4% (male 26,709/female 26,716) 15-24 years: 13.6% (male 19,705/female 19,754) 25-54 years: 45% (male 64,821/female 65,394) 55-64 years: 12.5% (male 16,837/female 19,286) 65 years and over: 10.5% (male 12,068/female 18,390) (2014 est.) |
| Belarus |
0-14 years: 15.4% (male 759,285/female 717,118) 15-24 years: 11.7% (male 575,907/female 544,170) 25-54 years: 45.5% (male 2,141,419/female 2,227,433) 55-64 years: 13.3% (male 562,639/female 716,216) 65 years and over: 14.2% (male 430,225/female 933,646) (2014 est.) |
| Belgium |
0-14 years: 15.6% (male 830,980/female 797,624) 15-24 years: 11.7% (male 624,486/female 598,904) 25-54 years: 40.4% (male 2,131,869/female 2,086,212) 55-64 years: 13.3% (male 690,395/female 704,284) 65 years and over: 19% (male 836,685/female 1,147,922) (2014 est.) |
| Belize |
0-14 years: 35.3% (male 61,480/female 59,000) 15-24 years: 21% (male 36,432/female 35,093) 25-54 years: 35.5% (male 61,112/female 59,809) 55-64 years: 4.6% (male 7,719/female 7,807) 65 years and over: 3.6% (male 5,848/female 6,544) (2014 est.) |
| Benin |
0-14 years: 43.8% (male 2,269,896/female 2,179,026) 15-24 years: 20.1% (male 1,036,963/female 1,001,400) 25-54 years: 29.9% (male 1,530,283/female 1,504,201) 55-64 years: 3.5% (male 149,883/female 205,701) 65 years and over: 2.8% (male 112,830/female 170,373) (2014 est.) |
| Bermuda |
0-14 years: 17.5% (male 6,165/female 6,031) 15-24 years: 12.2% (male 4,275/female 4,267) 25-54 years: 39.3% (male 13,706/female 13,741) 55-64 years: 14.6% (male 4,813/female 5,368) 65 years and over: 16.4% (male 4,821/female 6,652) (2014 est.) |
| Bhutan |
0-14 years: 27.3% (male 102,196/female 97,923) 15-24 years: 20.1% (male 75,327/female 72,472) 25-54 years: 40.8% (male 159,868/female 139,236) 55-64 years: 5.8% (male 22,769/female 19,699) 65 years and over: 6% (male 23,153/female 21,000) (2014 est.) |
| Bolivia |
0-14 years: 33.3% (male 1,805,121/female 1,737,794) 15-24 years: 19.8% (male 1,063,823/female 1,037,320) 25-54 years: 36.3% (male 1,878,736/female 1,979,819) 55-64 years: 5.7% (male 280,809/female 322,057) 65 years and over: 4.9% (male 232,514/female 293,493) (2014 est.) |
| Bosnia and Herzegovina |
0-14 years: 13.7% (male 272,812/female 256,152) 15-24 years: 12.7% (male 255,074/female 238,428) 25-54 years: 46.7% (male 906,265/female 899,870) 55-64 years: 13.7% (male 253,045/female 276,769) 65 years and over: 13.3% (male 199,515/female 313,713) (2014 est.) |
| Botswana |
0-14 years: 32.9% (male 361,717/female 348,150) 15-24 years: 21.6% (male 231,576/female 234,852) 25-54 years: 37% (male 422,182/female 375,836) 55-64 years: 4.4% (male 42,099/female 52,917) 65 years and over: 4% (male 34,567/female 51,888) (2014 est.) |
| Brazil |
0-14 years: 23.8% (male 24,534,129/female 23,606,332) 15-24 years: 16.5% (male 16,993,708/female 16,521,057) 25-54 years: 43.7% (male 43,910,790/female 44,674,915) 55-64 years: 8.4% (male 8,067,022/female 9,036,519) 65 years and over: 7.6% (male 6,507,069/female 8,805,247) (2014 est.) |
| British Virgin Islands |
0-14 years: 17.2% (male 2,770/female 2,861) 15-24 years: 14.5% (male 2,252/female 2,472) 25-54 years: 49.8% (male 7,697/female 8,574) 55-64 years: 10.6% (male 1,709/female 1,763) 65 years and over: 7.9% (male 1,258/female 1,324) (2014 est.) |
| Brunei |
0-14 years: 24.2% (male 52,753/female 49,548) 15-24 years: 17.3% (male 36,187/female 36,965) 25-54 years: 46.9% (male 96,006/female 102,028) 55-64 years: 7.6% (male 16,542/female 15,589) 65 years and over: 4% (male 8,301/female 8,756) (2014 est.) |
| Bulgaria |
0-14 years: 14.2% (male 505,025/female 479,899) 15-24 years: 10.1% (male 359,730/female 340,203) 25-54 years: 42.4% (male 1,459,753/female 1,475,240) 55-64 years: 14% (male 446,784/female 519,513) 65 years and over: 19.3% (male 538,720/female 799,849) (2014 est.) |
| Burkina Faso |
0-14 years: 45.4% (male 4,173,236/female 4,156,245) 15-24 years: 20.1% (male 1,851,801/female 1,833,496) 25-54 years: 29% (male 2,702,573/female 2,622,603) 55-64 years: 3.1% (male 240,520/female 332,421) 65 years and over: 2.5% (male 171,284/female 280,944) (2014 est.) |
| Burma |
0-14 years: 26.4% (male 7,498,179/female 7,209,588) 15-24 years: 18.3% (male 5,163,399/female 5,037,117) 25-54 years: 43.1% (male 11,930,777/female 12,073,741) 55-64 years: 7% (male 1,836,463/female 2,059,482) 65 years and over: 5.3% (male 1,277,919/female 1,659,588) (2014 est.) |
| Burundi |
0-14 years: 45.7% (male 2,385,571/female 2,361,367) 15-24 years: 19.3% (male 1,001,486/female 1,005,617) 25-54 years: 28.6% (male 1,483,936/female 1,491,401) 55-64 years: 3.9% (male 190,707/female 216,983) 65 years and over: 2.5% (male 109,434/female 149,429) (2014 est.) |
| Cabo Verde |
0-14 years: 30.6% (male 82,942/female 82,069) 15-24 years: 21.4% (male 57,633/female 57,637) 25-54 years: 38% (male 99,248/female 105,381) 55-64 years: 4.9% (male 10,917/female 15,352) 65 years and over: 5.1% (male 10,322/female 17,034) (2014 est.) |
| Cambodia |
0-14 years: 31.6% (male 2,460,659/female 2,423,619) 15-24 years: 20.5% (male 1,565,135/female 1,596,099) 25-54 years: 38.9% (male 2,938,366/female 3,082,496) 55-64 years: 5.1% (male 298,733/female 482,588) 65 years and over: 4% (male 229,684/female 380,953) (2014 est.) |
| Cameroon |
0-14 years: 42.9% (male 5,001,984/female 4,927,122) 15-24 years: 19.6% (male 2,286,244/female 2,257,231) 25-54 years: 30.4% (male 3,529,203/female 3,491,125) 55-64 years: 3.9% (male 445,181/female 468,388) 65 years and over: 3.1% (male 337,490/female 386,740) (2014 est.) |
| Canada |
0-14 years: 15.5% (male 2,764,691/female 2,628,413) 15-24 years: 12.7% (male 2,267,210/female 2,142,085) 25-54 years: 41% (male 7,244,109/female 7,052,512) 55-64 years: 13.5% (male 2,336,202/female 2,380,703) 65 years and over: 17.3% (male 2,670,482/female 3,348,434) (2014 est.) |
| Cayman Islands |
0-14 years: 18.4% (male 5,093/female 5,022) 15-24 years: 12.9% (male 3,505/female 3,579) 25-54 years: 44% (male 11,771/female 12,384) 55-64 years: 13.6% (male 3,549/female 3,922) 65 years and over: 11.1% (male 2,870/female 3,219) (2014 est.) |
| Central African Republic |
0-14 years: 40.6% (male 1,077,247/female 1,064,660) 15-24 years: 20.1% (male 534,257/female 528,822) 25-54 years: 31.8% (male 838,484/female 838,858) 55-64 years: 3.9% (male 91,696/female 115,600) 65 years and over: 3.6% (male 73,914/female 114,421) (2014 est.) |
| Chad |
0-14 years: 44.7% (male 2,588,424/female 2,515,935) 15-24 years: 20.6% (male 1,143,812/female 1,211,136) 25-54 years: 27.8% (male 1,436,018/female 1,737,901) 55-64 years: 3.9% (male 193,173/female 247,584) 65 years and over: 3% (male 140,592/female 197,532) (2014 est.) |
| Chile |
0-14 years: 20.7% (male 1,834,247/female 1,760,315) 15-24 years: 16.3% (male 1,442,610/female 1,383,738) 25-54 years: 43.2% (male 3,733,261/female 3,766,912) 55-64 years: 9.9% (male 806,044/female 910,818) 65 years and over: 9.9% (male 720,681/female 1,005,268) (2014 est.) |
| China |
0-14 years: 17.1% (male 124,340,516/female 107,287,324) 15-24 years: 14.7% (male 105,763,058/female 93,903,845) 25-54 years: 47.2% (male 327,130,324/female 313,029,536) 55-64 years: 11.3% (male 77,751,100/female 75,737,968) 65 years and over: 9.6% (male 62,646,075/female 68,102,830) (2014 est.) |
| Colombia |
0-14 years: 25.3% (male 5,998,645/female 5,720,229) 15-24 years: 18% (male 4,243,251/female 4,099,299) 25-54 years: 41.6% (male 9,515,723/female 9,720,894) 55-64 years: 8.3% (male 1,796,050/female 2,051,948) 65 years and over: 6.7% (male 1,293,258/female 1,806,000) (2014 est.) |
| Comoros |
0-14 years: 41.3% (male 157,996/female 159,088) 15-24 years: 18.8% (male 69,688/female 74,418) 25-54 years: 31.9% (male 116,235/female 128,647) 55-64 years: 4.1% (male 14,074/female 17,700) 65 years and over: 3.8% (male 13,696/female 15,323) (2014 est.) |
| Congo, Democratic Republic of the |
0-14 years: 43.1% (male 16,810,549/female 16,552,685) 15-24 years: 21.4% (male 8,292,444/female 8,248,326) 25-54 years: 29.4% (male 11,359,385/female 11,405,442) 55-64 years: 3.5% (male 1,287,895/female 1,457,499) 65 years and over: 2.6% (male 849,840/female 1,169,679) (2014 est.) |
| Congo, Republic of the |
0-14 years: 41.1% (male 966,852/female 950,411) 15-24 years: 17.7% (male 411,263/female 413,594) 25-54 years: 34.2% (male 808,181/female 787,554) 55-64 years: 4% (male 90,795/female 94,837) 65 years and over: 3% (male 60,400/female 78,559) (2014 est.) |
| Cook Islands |
0-14 years: 22.8% (male 1,224/female 1,084) 15-24 years: 17.9% (male 971/female 845) 25-54 years: 38% (male 1,937/female 1,917) 55-64 years: 10.3% (male 555/female 487) 65 years and over: 11% (male 548/female 566) (2014 est.) |
| Costa Rica |
0-14 years: 23.5% (male 570,311/female 545,026) 15-24 years: 17.5% (male 423,340/female 407,335) 25-54 years: 43.8% (male 1,045,296/female 1,035,273) 55-64 years: 8.3% (male 193,205/female 201,377) 65 years and over: 7% (male 154,467/female 179,604) (2014 est.) |
| Cote d'Ivoire |
0-14 years: 38.4% (male 4,427,193/female 4,353,342) 15-24 years: 21% (male 2,415,504/female 2,378,196) 25-54 years: 33% (male 3,864,593/female 3,677,996) 55-64 years: 4.3% (male 494,063/female 493,213) 65 years and over: 3.3% (male 361,135/female 383,710) (2014 est.) |
| Croatia |
0-14 years: 14.5% (male 332,079/female 314,842) 15-24 years: 12.1% (male 275,957/female 263,796) 25-54 years: 41.1% (male 910,591/female 928,434) 55-64 years: 14.5% (male 315,791/female 334,017) 65 years and over: 17.8% (male 320,898/female 474,129) (2014 est.) |
| Cuba |
0-14 years: 16.3% (male 923,602/female 873,156) 15-24 years: 13.6% (male 770,515/female 732,056) 25-54 years: 47.1% (male 2,618,089/female 2,581,895) 55-64 years: 10.4% (male 551,637/female 602,658) 65 years and over: 12.6% (male 625,330/female 768,313) (2014 est.) |
| Curacao |
0-14 years: 20.6% (male 15,342/female 14,645) 15-24 years: 15.4% (male 11,599/female 10,790) 25-54 years: 38.5% (male 26,869/female 29,348) 55-64 years: 12.6% (male 8,059/female 10,259) 65 years and over: 13% (male 7,833/female 11,090) (2013 est.) |
| Cyprus |
0-14 years: 15.7% (male 94,437/female 89,174) 15-24 years: 15.3% (male 97,773/female 82,053) 25-54 years: 46.9% (male 288,673/female 261,651) 55-64 years: 10.8% (male 60,639/female 66,336) 65 years and over: 11.2% (male 57,188/female 74,534) (2014 est.) |
| Czech Republic |
0-14 years: 14.9% (male 812,503/female 769,849) 15-24 years: 10.6% (male 576,304/female 547,765) 25-54 years: 43.6% (male 2,377,962/female 2,256,989) 55-64 years: 13.4% (male 687,155/female 735,277) 65 years and over: 17.5% (male 766,402/female 1,097,242) (2014 est.) |
| Denmark |
0-14 years: 17% (male 485,115/female 460,682) 15-24 years: 13.1% (male 371,258/female 355,984) 25-54 years: 39.2% (male 1,087,993/female 1,093,545) 55-64 years: 12.4% (male 343,685/female 347,732) 65 years and over: 18.4% (male 457,175/female 565,908) (2014 est.) |
| Djibouti |
0-14 years: 32.9% (male 133,786/female 133,163) 15-24 years: 22% (male 83,871/female 94,316) 25-54 years: 36.9% (male 124,198/female 174,557) 55-64 years: 4.6% (male 17,694/female 19,931) 65 years and over: 3.5% (male 12,875/female 15,788) (2014 est.) |
| Dominica |
0-14 years: 22.1% (male 8,300/female 7,939) 15-24 years: 16.7% (male 6,311/female 5,946) 25-54 years: 41.5% (male 15,470/female 15,004) 55-64 years: 9.2% (male 3,604/female 3,147) 65 years and over: 10.5% (male 3,386/female 4,342) (2014 est.) |
| Dominican Republic |
0-14 years: 28% (male 1,474,170/female 1,423,573) 15-24 years: 18.5% (male 974,688/female 937,103) 25-54 years: 39.3% (male 2,078,915/female 1,984,585) 55-64 years: 7.2% (male 376,175/female 371,152) 65 years and over: 7% (male 336,712/female 392,668) (2014 est.) |
| Ecuador |
0-14 years: 28.5% (male 2,275,448/female 2,184,706) 15-24 years: 18.6% (male 1,478,184/female 1,439,288) 25-54 years: 38.9% (male 2,968,757/female 3,124,938) 55-64 years: 7.1% (male 544,097/female 562,326) 65 years and over: 6.9% (male 514,549/female 562,118) (2014 est.) |
| Egypt |
0-14 years: 32.1% (male 14,272,494/female 13,639,550) 15-24 years: 17.8% (male 7,913,351/female 7,536,925) 25-54 years: 38.4% (male 16,942,145/female 16,398,524) 55-64 years: 6.7% (male 2,888,193/female 2,973,531) 65 years and over: 5% (male 1,949,145/female 2,381,241) (2014 est.) |
| El Salvador |
0-14 years: 28.1% (male 882,185/female 837,646) 15-24 years: 20.8% (male 640,322/female 635,409) 25-54 years: 37.5% (male 1,056,779/female 1,243,220) 55-64 years: 6.6% (male 182,937/female 224,019) 65 years and over: 6.9% (male 187,664/female 235,331) (2014 est.) |
| Equatorial Guinea |
0-14 years: 40.8% (male 149,597/female 144,788) 15-24 years: 19.5% (male 71,609/female 69,061) 25-54 years: 31.5% (male 112,956/female 114,785) 55-64 years: 4.2% (male 13,052/female 17,247) 65 years and over: 4% (male 12,310/female 16,849) (2014 est.) |
| Eritrea |
0-14 years: 40.8% (male 1,307,550/female 1,293,867) 15-24 years: 20.2% (male 644,878/female 646,518) 25-54 years: 31.5% (male 996,856/female 1,014,798) 55-64 years: 3.8% (male 101,549/female 138,016) 65 years and over: 3.7% (male 102,525/female 134,246) (2014 est.) |
| Estonia |
0-14 years: 15.6% (male 101,018/female 95,204) 15-24 years: 11.2% (male 72,318/female 68,373) 25-54 years: 41.5% (male 250,244/female 271,450) 55-64 years: 13.2% (male 71,518/female 94,029) 65 years and over: 18.6% (male 77,492/female 156,275) (2014 est.) |
| Ethiopia |
0-14 years: 44.2% (male 21,376,243/female 21,308,454) 15-24 years: 19.9% (male 9,557,462/female 9,692,275) 25-54 years: 29.2% (male 14,023,218/female 14,176,263) 55-64 years: 3.9% (male 1,826,602/female 1,919,212) 65 years and over: 2.8% (male 1,242,171/female 1,511,558) (2014 est.) |
| European Union |
0-14 years: 15.4% (male 40,489,605/female 38,450,957) 15-24 years: 11.2% (male 29,297,915/female 28,019,963) 25-54 years: 42.1% (male 108,580,059/female 106,875,351) 55-64 years: 12.7% (male 31,624,447/female 33,531,109) 65 years and over: 18.5% (male 40,278,139/female 54,287,267) (2014 est.) |
| Faroe Islands |
0-14 years: 20.3% (male 5,251/female 4,877) 15-24 years: 15.3% (male 3,942/female 3,701) 25-54 years: 36.8% (male 9,958/female 8,445) 55-64 years: 11.8% (male 3,035/female 2,859) 65 years and over: 15.8% (male 3,819/female 4,060) (2014 est.) |
| Fiji |
0-14 years: 28.2% (male 130,013/female 124,423) 15-24 years: 17.1% (male 78,751/female 75,358) 25-54 years: 41.1% (male 190,035/female 181,268) 55-64 years: 7.8% (male 35,616/female 34,920) 65 years and over: 5.8% (male 24,282/female 28,541) (2014 est.) |
| Finland |
0-14 years: 15.8% (male 423,011/female 408,664) 15-24 years: 12.1% (male 326,140/female 313,621) 25-54 years: 38.1% (male 1,021,798/female 983,423) 55-64 years: 14.2% (male 368,355/female 379,957) 65 years and over: 19.8% (male 439,014/female 604,816) (2014 est.) |
| France |
0-14 years: 18.7% (male 6,337,877/female 6,053,185) 15-24 years: 11.9% (male 4,018,044/female 3,837,191) 25-54 years: 38.6% (male 12,851,278/female 12,719,073) 55-64 years: 12.5% (male 4,012,614/female 4,290,624) 65 years and over: 18.3% (male 5,197,519/female 6,941,607) (2014 est.) |
| French Polynesia |
0-14 years: 23.7% (male 34,182/female 32,276) 15-24 years: 16.7% (male 24,219/female 22,559) 25-54 years: 43.9% (male 63,034/female 59,859) 55-64 years: 8.5% (male 12,305/female 11,599) 65 years and over: 7.1% (male 9,713/female 10,280) (2014 est.) |
| Gabon |
0-14 years: 42.1% (male 353,863/female 350,456) 15-24 years: 20.3% (male 169,681/female 169,082) 25-54 years: 29.7% (male 248,328/female 248,063) 55-64 years: 4.2% (male 33,608/female 35,838) 65 years and over: 3.8% (male 27,117/female 36,561) (2014 est.) |
| Gambia, The |
0-14 years: 38.7% (male 374,353/female 371,488) 15-24 years: 21% (male 199,306/female 204,324) 25-54 years: 33% (male 310,901/female 324,227) 55-64 years: 4% (male 37,506/female 39,958) 65 years and over: 3.3% (male 29,793/female 33,671) (2014 est.) |
| Gaza Strip |
0-14 years: 43.2% (male 402,848/female 381,155) 15-24 years: 20.6% (male 191,710/female 182,405) 25-54 years: 30.1% (male 280,551/female 266,756) 55-64 years: 3.5% (male 31,711/female 31,515) 65 years and over: 2.6% (male 19,617/female 28,111) (2014 est.) |
| Georgia |
0-14 years: 17.6% (male 459,334/female 410,494) 15-24 years: 14% (male 359,559/female 332,182) 25-54 years: 40.9% (male 976,129/female 1,042,898) 55-64 years: 12.2% (male 269,367/female 330,386) 65 years and over: 15.3% (male 295,673/female 459,858) (2014 est.) |
| Germany |
0-14 years: 13% (male 5,386,525/female 5,107,336) 15-24 years: 10.6% (male 4,367,713/female 4,188,566) 25-54 years: 41.7% (male 17,116,346/female 16,664,995) 55-64 years: 13.6% (male 5,463,221/female 5,574,166) 65 years and over: 21.1% (male 7,468,552/female 9,659,265) (2014 est.) |
| Ghana |
0-14 years: 38.6% (male 4,988,823/female 4,943,451) 15-24 years: 18.7% (male 2,403,526/female 2,426,076) 25-54 years: 33.8% (male 4,228,326/female 4,480,090) 55-64 years: 4.8% (male 599,510/female 633,688) 65 years and over: 4.1% (male 489,566/female 565,052) (2014 est.) |
| Gibraltar |
0-14 years: 20.1% (male 3,009/female 2,862) 15-24 years: 16% (male 2,433/female 2,225) 25-54 years: 38.1% (male 5,593/female 5,524) 55-64 years: 10.8% (male 1,488/female 1,664) 65 years and over: 15% (male 2,156/female 2,231) (2014 est.) |
| Greece |
0-14 years: 14.1% (male 781,151/female 735,444) 15-24 years: 9.8% (male 537,849/female 515,359) 25-54 years: 43.2% (male 2,321,709/female 2,337,502) 55-64 years: 12.7% (male 670,270/female 694,399) 65 years and over: 20.2% (male 954,605/female 1,227,269) (2014 est.) |
| Greenland |
0-14 years: 21.5% (male 6,287/female 6,099) 15-24 years: 16.5% (male 4,843/female 4,702) 25-54 years: 42.5% (male 12,928/female 11,590) 55-64 years: 11.3% (male 3,681/female 2,818) 65 years and over: 8.3% (male 2,550/female 2,230) (2014 est.) |
| Grenada |
0-14 years: 24.5% (male 13,954/female 13,057) 15-24 years: 16.5% (male 9,075/female 9,155) 25-54 years: 40.3% (male 22,765/female 21,628) 55-64 years: 9.2% (male 5,214/female 4,927) 65 years and over: 9.4% (male 4,739/female 5,638) (2014 est.) |
| Guam |
0-14 years: 26% (male 21,520/female 20,279) 15-24 years: 16.9% (male 14,109/female 13,164) 25-54 years: 39.3% (male 32,285/female 31,058) 55-64 years: 9.3% (male 7,483/female 7,411) 65 years and over: 8.5% (male 6,228/female 7,464) (2014 est.) |
| Guatemala |
0-14 years: 36.2% (male 2,698,238/female 2,597,026) 15-24 years: 22.1% (male 1,625,139/female 1,615,543) 25-54 years: 32.4% (male 2,251,665/female 2,487,332) 55-64 years: 5.2% (male 362,686/female 393,273) 65 years and over: 4.2% (male 286,041/female 330,140) (2014 est.) |
| Guernsey |
0-14 years: 14.6% (male 4,967/female 4,629) 15-24 years: 11.9% (male 3,993/female 3,854) 25-54 years: 42.2% (male 13,991/female 13,800) 55-64 years: 12.9% (male 4,229/female 4,249) 65 years and over: 18.4% (male 5,469/female 6,668) (2014 est.) |
| Guinea-Bissau |
0-14 years: 39.8% (male 336,053/female 337,270) 15-24 years: 20.2% (male 169,574/female 172,221) 25-54 years: 32.1% (male 270,432/female 273,053) 55-64 years: 4.7% (male 29,112/female 50,083) 65 years and over: 3.3% (male 21,236/female 34,364) (2014 est.) |
| Guinea |
0-14 years: 42% (male 2,437,142/female 2,387,105) 15-24 years: 19.5% (male 1,130,432/female 1,108,834) 25-54 years: 30.4% (male 1,748,867/female 1,739,881) 55-64 years: 4.4% (male 243,032/female 266,578) 65 years and over: 3.6% (male 182,084/female 230,428) (2014 est.) |
| Guyana |
0-14 years: 29% (male 108,703/female 104,793) 15-24 years: 21% (male 79,354/female 74,921) 25-54 years: 37.2% (male 142,348/female 131,108) 55-64 years: 7.5% (male 24,677/female 30,562) 65 years and over: 5.3% (male 16,318/female 22,770) (2014 est.) |
| Haiti |
0-14 years: 34% (male 1,701,559/female 1,693,236) 15-24 years: 21.6% (male 1,078,994/female 1,081,005) 25-54 years: 35.3% (male 1,755,722/female 1,770,386) 55-64 years: 5% (male 241,174/female 263,369) 65 years and over: 4.1% (male 183,627/female 227,659) (2014 est.) |
| Honduras |
0-14 years: 34.8% (male 1,529,578/female 1,465,188) 15-24 years: 21.2% (male 928,756/female 892,629) 25-54 years: 35.3% (male 1,530,429/female 1,502,916) 55-64 years: 4.7% (male 187,771/female 217,093) 65 years and over: 4% (male 150,681/female 193,520) (2014 est.) |
| Hong Kong |
0-14 years: 12.1% (male 456,638/female 402,462) 15-24 years: 11.5% (male 417,300/female 398,270) 25-54 years: 46.9% (male 1,430,036/female 1,905,585) 55-64 years: 14.8% (male 517,045/female 537,290) 65 years and over: 14.7% (male 493,399/female 554,663) (2014 est.) |
| Hungary |
0-14 years: 14.8% (male 757,868/female 712,908) 15-24 years: 11.7% (male 596,005/female 561,606) 25-54 years: 41.6% (male 2,071,845/female 2,056,611) 55-64 years: 14% (male 639,298/female 754,129) 65 years and over: 17.8% (male 661,256/female 1,107,602) (2014 est.) |
| Iceland |
0-14 years: 19.7% (male 31,660/female 30,720) 15-24 years: 14.5% (male 23,116/female 22,742) 25-54 years: 40.7% (male 65,218/female 64,102) 55-64 years: 11.6% (male 18,644/female 18,225) 65 years and over: 13.5% (male 19,754/female 23,170) (2014 est.) |
| India |
0-14 years: 28.5% (male 187,016,401/female 165,048,695) 15-24 years: 18.1% (male 118,696,540/female 105,342,764) 25-54 years: 40.6% (male 258,202,535/female 243,293,143) 55-64 years: 7% (male 43,625,668/female 43,175,111) 65 years and over: 5.8% (male 34,133,175/female 37,810,599) (2014 est.) |
| Indonesia |
0-14 years: 26.2% (male 33,854,520/female 32,648,568) 15-24 years: 17.1% (male 22,067,716/female 21,291,548) 25-54 years: 42.3% (male 54,500,650/female 52,723,359) 55-64 years: 7.9% (male 9,257,637/female 10,780,724) 65 years and over: 6.5% (male 7,176,865/female 9,308,056) (2014 est.) |
| Iran |
0-14 years: 23.7% (male 9,834,866/female 9,350,017) 15-24 years: 18.7% (male 7,757,256/female 7,341,309) 25-54 years: 46.1% (male 18,955,874/female 18,289,849) 55-64 years: 6.3% (male 2,519,630/female 2,603,458) 65 years and over: 5.2% (male 1,941,692/female 2,246,762) (2014 est.) |
| Iraq |
0-14 years: 36.7% (male 6,093,069/female 5,878,590) 15-24 years: 19.6% (male 3,237,212/female 3,142,202) 25-54 years: 36.3% (male 6,032,379/female 5,785,967) 55-64 years: 4.2% (male 652,973/female 713,662) 65 years and over: 3.2% (male 487,841/female 561,797) (2014 est.) |
| Ireland |
0-14 years: 21.4% (male 529,140/female 506,857) 15-24 years: 11.9% (male 292,962/female 283,127) 25-54 years: 44.1% (male 1,070,875/female 1,061,396) 55-64 years: 10.1% (male 245,913/female 244,345) 65 years and over: 12.4% (male 275,114/female 323,036) (2014 est.) |
| Isle of Man |
0-14 years: 16.3% (male 7,457/female 6,721) 15-24 years: 11.9% (male 5,371/female 4,990) 25-54 years: 39.5% (male 17,110/female 17,209) 55-64 years: 12.8% (male 5,605/female 5,519) 65 years and over: 19.4% (male 7,839/female 9,045) (2014 est.) |
| Israel |
0-14 years: 27.1% (male 1,084,748/female 1,035,525) 15-24 years: 15.7% (male 628,205/female 599,871) 25-54 years: 37.8% (male 1,508,860/female 1,443,898) 55-64 years: 8.8% (male 333,453/female 352,302) 65 years and over: 10.7% (male 368,318/female 466,670) (2014 est.) |
| Italy |
0-14 years: 13.8% (male 4,340,943/female 4,154,547) 15-24 years: 9.8% (male 3,046,202/female 3,028,190) 25-54 years: 43% (male 13,107,098/female 13,405,812) 55-64 years: 12.4% (male 3,703,329/female 3,942,261) 65 years and over: 21% (male 5,548,047/female 7,403,693) (2014 est.) |
| Jamaica |
0-14 years: 28.4% (male 423,855/female 409,651) 15-24 years: 21.7% (male 319,291/female 316,773) 25-54 years: 36.4% (male 525,288/female 542,015) 55-64 years: 5.6% (male 79,875/female 84,562) 65 years and over: 7.8% (male 102,377/female 126,363) (2014 est.) |
| Japan |
0-14 years: 13.2% (male 8,681,728/female 8,132,809) 15-24 years: 9.7% (male 6,429,429/female 5,890,991) 25-54 years: 38.1% (male 23,953,643/female 24,449,655) 55-64 years: 13.2% (male 8,413,872/female 8,400,953) 65 years and over: 25.8% (male 14,218,655/female 18,531,653) (2014 est.) |
| Jersey |
0-14 years: 16% (male 8,001/female 7,456) 15-24 years: 14.8% (male 7,271/female 6,972) 25-54 years: 41.4% (male 20,000/female 19,927) 55-64 years: 12.2% (male 5,690/female 6,055) 65 years and over: 15.7% (male 6,464/female 8,677) (2014 est.) |
| Jordan |
0-14 years: 35.8% (male 1,457,174/female 1,385,604) 15-24 years: 20.4% (male 826,482/female 788,950) 25-54 years: 35.7% (male 1,421,634/female 1,412,888) 55-64 years: 4.2% (male 160,224/female 169,965) 65 years and over: 3.9% (male 145,515/female 162,055) (2014 est.) |
| Kazakhstan |
0-14 years: 25.1% (male 2,247,628/female 2,254,744) 15-24 years: 16.1% (male 1,469,275/female 1,418,175) 25-54 years: 42.6% (male 3,720,498/female 3,927,626) 55-64 years: 9.2% (male 724,683/female 935,416) 65 years and over: 7% (male 429,565/female 821,206) (2014 est.) |
| Kenya |
0-14 years: 42.1% (male 9,494,983/female 9,435,795) 15-24 years: 18.7% (male 4,197,382/female 4,202,399) 25-54 years: 32.8% (male 7,458,665/female 7,302,534) 55-64 years: 3.7% (male 751,296/female 910,523) 65 years and over: 2.8% (male 548,431/female 708,048) (2014 est.) |
| Kiribati |
0-14 years: 31.5% (male 16,779/female 16,151) 15-24 years: 21.3% (male 11,099/female 11,122) 25-54 years: 37.8% (male 18,978/female 20,477) 55-64 years: 5.5% (male 2,605/female 3,137) 65 years and over: 4% (male 1,630/female 2,510) (2014 est.) |
| Korea, North |
0-14 years: 21.5% (male 2,709,580/female 2,628,456) 15-24 years: 16.3% (male 2,041,861/female 1,997,413) 25-54 years: 44% (male 5,465,889/female 5,456,850) 55-64 years: 8.6% (male 1,007,667/female 1,127,455) 65 years and over: 9.7% (male 826,175/female 1,590,281) (2014 est.) |
| Korea, South |
0-14 years: 14.1% (male 3,603,943/female 3,328,634) 15-24 years: 13.5% (male 3,515,271/female 3,113,257) 25-54 years: 47.3% (male 11,814,872/female 11,360,962) 55-64 years: 12.4% (male 3,012,051/female 3,081,480) 65 years and over: 12.7% (male 2,570,433/female 3,639,083) (2014 est.) |
| Kosovo |
0-14 years: 26.3% (male 253,876/female 234,810) 15-24 years: 18.1% (male 176,738/female 159,455) 25-54 years: 41.5% (male 407,347/female 365,029) 55-64 years: 7.2% (male 65,762/female 67,243) 65 years and over: 6.9% (male 54,059/female 74,884) (2014 est.) |
| Kuwait |
0-14 years: 25.4% (male 363,001/female 334,851) 15-24 years: 15.3% (male 230,628/female 188,892) 25-54 years: 52.3% (male 910,832/female 524,690) 55-64 years: 4.7% (male 73,816/female 54,678) 65 years and over: 2.2% (male 29,312/female 32,011) (2014 est.) |
| Kyrgyzstan |
0-14 years: 29.8% (male 854,029/female 815,300) 15-24 years: 18.8% (male 536,355/female 519,440) 25-54 years: 39.4% (male 1,079,691/female 1,127,520) 55-64 years: 7.1% (male 171,960/female 224,450) 65 years and over: 4.9% (male 105,651/female 169,816) (2014 est.) |
| Laos |
0-14 years: 34.8% (male 1,195,364/female 1,173,520) 15-24 years: 21.3% (male 719,205/female 728,729) 25-54 years: 35% (male 1,176,018/female 1,208,452) 55-64 years: 5.1% (male 169,291/female 175,815) 65 years and over: 3.8% (male 116,299/female 141,006) (2014 est.) |
| Latvia |
0-14 years: 14.2% (male 156,851/female 150,074) 15-24 years: 11% (male 121,435/female 116,602) 25-54 years: 44.8% (male 481,336/female 487,991) 55-64 years: 12.8% (male 122,544/female 155,114) 65 years and over: 17.2% (male 121,668/female 251,550) (2014 est.) |
| Lebanon |
0-14 years: 25.2% (male 758,153/female 723,619) 15-24 years: 17.2% (male 515,591/female 493,879) 25-54 years: 44.1% (male 1,309,544/female 1,283,074) 55-64 years: 6.9% (male 185,503/female 219,242) 65 years and over: 6.7% (male 175,911/female 218,046) (2014 est.) |
| Lesotho |
0-14 years: 32.9% (male 321,017/female 318,265) 15-24 years: 19.9% (male 184,006/female 203,336) 25-54 years: 36.8% (male 349,365/female 364,970) 55-64 years: 4.9% (male 51,274/female 44,847) 65 years and over: 5.4% (male 52,955/female 51,973) (2014 est.) |
| Liberia |
0-14 years: 43.2% (male 891,002/female 876,655) 15-24 years: 17.9% (male 357,952/female 375,708) 25-54 years: 31.5% (male 642,835/female 646,104) 55-64 years: 4.3% (male 85,906/female 89,943) 65 years and over: 3.1% (male 62,475/female 63,730) (2014 est.) |
| Libya |
0-14 years: 26.9% (male 859,016/female 820,643) 15-24 years: 18.2% (male 586,749/female 546,602) 25-54 years: 46.1% (male 1,509,108/female 1,370,709) 55-64 years: 4.8% (male 154,847/female 145,330) 65 years and over: 4% (male 126,691/female 124,479) (2014 est.) |
| Liechtenstein |
0-14 years: 15.7% (male 3,130/female 2,744) 15-24 years: 11.7% (male 2,160/female 2,197) 25-54 years: 43.1% (male 8,029/female 8,069) 55-64 years: 13.4% (male 2,479/female 2,535) 65 years and over: 16% (male 2,713/female 3,257) (2014 est.) |
| Lithuania |
0-14 years: 13.5% (male 243,001/female 230,674) 15-24 years: 12.5% (male 224,584/female 214,184) 25-54 years: 44.7% (male 782,238/female 785,521) 55-64 years: 12.2% (male 193,374/female 235,595) 65 years and over: 17% (male 207,222/female 389,345) (2014 est.) |
| Luxembourg |
0-14 years: 17.9% (male 47,968/female 45,100) 15-24 years: 12.7% (male 33,657/female 32,212) 25-54 years: 42.1% (male 109,528/female 109,662) 55-64 years: 12% (male 31,076/female 31,212) 65 years and over: 15.4% (male 33,892/female 46,365) (2014 est.) |
| Macau |
0-14 years: 14.4% (male 44,350/female 40,272) 15-24 years: 13.7% (male 41,941/female 38,697) 25-54 years: 50.9% (male 133,612/female 165,735) 55-64 years: 11.8% (male 35,011/female 34,372) 65 years and over: 9.2% (male 25,254/female 28,670) (2014 est.) |
| Macedonia |
0-14 years: 17.7% (male 191,682/female 178,510) 15-24 years: 14.1% (male 151,901/female 142,679) 25-54 years: 43.8% (male 464,392/female 451,038) 55-64 years: 12.1% (male 123,272/female 129,081) 65 years and over: 12.4% (male 111,090/female 148,074) (2014 est.) |
| Madagascar |
0-14 years: 40.7% (male 4,765,523/female 4,685,298) 15-24 years: 20.6% (male 2,394,146/female 2,384,564) 25-54 years: 31.3% (male 3,635,506/female 3,629,204) 55-64 years: 4.2% (male 466,263/female 503,375) 65 years and over: 3.2% (male 334,533/female 403,514) (2014 est.) |
| Malawi |
0-14 years: 46.9% (male 4,056,810/female 4,100,841) 15-24 years: 20.2% (male 1,748,919/female 1,765,212) 25-54 years: 27.1% (male 2,329,952/female 2,371,274) 55-64 years: 3.1% (male 256,034/female 280,997) 65 years and over: 2.7% (male 206,923/female 260,506) (2014 est.) |
| Malaysia |
0-14 years: 28.8% (male 4,456,033/female 4,206,727) 15-24 years: 16.9% (male 2,580,486/female 2,511,579) 25-54 years: 41.2% (male 6,277,694/female 6,114,312) 55-64 years: 7.6% (male 1,163,861/female 1,122,746) 65 years and over: 5.5% (male 777,338/female 862,577) (2014 est.) |
| Maldives |
0-14 years: 21% (male 42,154/female 40,490) 15-24 years: 23.4% (male 53,760/female 38,385) 25-54 years: 46.5% (male 107,703/female 75,360) 55-64 years: 4.8% (male 9,782/female 9,180) 65 years and over: 4.3% (male 7,974/female 8,807) (2014 est.) |
| Mali |
0-14 years: 47.6% (male 3,931,818/female 3,899,535) 15-24 years: 19% (male 1,489,830/female 1,638,995) 25-54 years: 26.7% (male 2,042,666/female 2,348,337) 55-64 years: 3.7% (male 307,167/female 306,470) 65 years and over: 3% (male 246,084/female 245,001) (2014 est.) |
| Malta |
0-14 years: 15.1% (male 32,021/female 30,432) 15-24 years: 12.6% (male 26,680/female 25,201) 25-54 years: 40.4% (male 85,109/female 81,577) 55-64 years: 14% (male 28,751/female 29,113) 65 years and over: 17.9% (male 32,903/female 40,868) (2014 est.) |
| Marshall Islands |
0-14 years: 36.6% (male 13,244/female 12,741) 15-24 years: 17.5% (male 6,305/female 6,087) 25-54 years: 36.9% (male 13,308/female 12,856) 55-64 years: 5.7% (male 2,078/female 1,938) 65 years and over: 3.4% (male 1,187/female 1,239) (2014 est.) |
| Mauritania |
0-14 years: 39.5% (male 697,156/female 691,548) 15-24 years: 20% (male 343,214/female 358,533) 25-54 years: 32.5% (male 528,133/female 613,324) 55-64 years: 4.5% (male 71,265/female 87,086) 65 years and over: 3.6% (male 53,705/female 72,842) (2014 est.) |
| Mauritius |
0-14 years: 21% (male 143,064/female 137,021) 15-24 years: 15.5% (male 104,257/female 102,233) 25-54 years: 44.1% (male 293,607/female 294,029) 55-64 years: 10.9% (male 68,749/female 76,407) 65 years and over: 8.4% (male 45,145/female 66,643) (2014 est.) |
| Mexico |
0-14 years: 27.9% (male 17,188,577/female 16,423,421) 15-24 years: 18.1% (male 10,999,445/female 10,741,999) 25-54 years: 40.4% (male 23,385,321/female 25,200,511) 55-64 years: 7% (male 3,850,792/female 4,527,074) 65 years and over: 6.6% (male 3,594,675/female 4,374,840) (2014 est.) |
| Micronesia, Federated States of |
0-14 years: 31.9% (male 17,120/female 16,561) 15-24 years: 20.2% (male 10,755/female 10,609) 25-54 years: 38% (male 19,483/female 20,686) 55-64 years: 6.5% (male 3,440/female 3,477) 65 years and over: 3.4% (male 1,576/female 1,974) (2014 est.) |
| Moldova |
0-14 years: 17.7% (male 326,968/female 306,948) 15-24 years: 14.2% (male 262,559/female 246,283) 25-54 years: 43.9% (male 785,392/female 786,421) 55-64 years: 13.1% (male 214,899/female 255,046) 65 years and over: 11.1% (male 151,629/female 247,143) (2014 est.) |
| Monaco |
0-14 years: 11.7% (male 1,828/female 1,742) 15-24 years: 9.2% (male 1,445/female 1,371) 25-54 years: 35.1% (male 5,332/female 5,363) 55-64 years: 14.5% (male 2,223/female 2,203) 65 years and over: 29.5% (male 4,020/female 4,981) (2014 est.) |
| Mongolia |
0-14 years: 26.8% (male 404,051/female 388,546) 15-24 years: 18.7% (male 278,912/female 273,167) 25-54 years: 44.5% (male 636,799/female 677,236) 55-64 years: 5.9% (male 80,267/female 94,021) 65 years and over: 4.1% (male 49,314/female 70,877) (2014 est.) |
| Montenegro |
0-14 years: 15.2% (male 48,231/female 50,659) 15-24 years: 10.8% (male 33,085/female 37,029) 25-54 years: 47.1% (male 164,644/female 141,380) 55-64 years: 12.9% (male 41,765/female 42,075) 65 years and over: 14% (male 36,081/female 55,087) (2014 est.) |
| Montserrat |
0-14 years: 17.6% (male 472/female 445) 15-24 years: 21.5% (male 588/female 531) 25-54 years: 47.9% (male 1,190/female 1,309) 55-64 years: 6.9% (male 160/female 200) 65 years and over: 6.1% (male 196/female 124) (2014 est.) |
| Morocco |
0-14 years: 26.7% (male 4,479,676/female 4,342,605) 15-24 years: 17.7% (male 2,899,041/female 2,931,856) 25-54 years: 42% (male 6,693,877/female 7,146,696) 55-64 years: 7.3% (male 1,200,733/female 1,203,447) 65 years and over: 6.3% (male 940,291/female 1,148,984) (2014 est.) |
| Mozambique |
0-14 years: 45.3% (male 5,627,116/female 5,566,260) 15-24 years: 21.3% (male 2,566,298/female 2,689,695) 25-54 years: 27% (male 3,113,095/female 3,553,266) 55-64 years: 3.5% (male 404,988/female 448,814) 65 years and over: 2.9% (male 332,013/female 390,599) (2014 est.) |
| Namibia |
0-14 years: 31.7% (male 352,368/female 345,593) 15-24 years: 23.1% (male 256,965/female 251,276) 25-54 years: 35.9% (male 410,736/female 378,678) 55-64 years: 4.8% (male 47,832/female 58,602) 65 years and over: 4.4% (male 41,697/female 54,659) (2014 est.) |
| Nauru |
0-14 years: 32.5% (male 1,359/female 1,720) 15-24 years: 16.9% (male 828/female 773) 25-54 years: 42.7% (male 2,013/female 2,040) 55-64 years: 6% (male 228/female 343) 65 years and over: 1.9% (male 73/female 111) (2014 est.) |
| Nepal |
0-14 years: 31.6% (male 4,989,268/female 4,805,381) 15-24 years: 22.6% (male 3,521,421/female 3,484,203) 25-54 years: 35.7% (male 5,273,079/female 5,775,404) 55-64 years: 5.6% (male 847,431/female 886,760) 65 years and over: 4.5% (male 648,917/female 755,111) (2014 est.) |
| Netherlands |
0-14 years: 16.9% (male 1,460,234/female 1,393,766) 15-24 years: 12.2% (male 1,046,323/female 1,006,114) 25-54 years: 40.4% (male 3,423,777/female 3,399,378) 55-64 years: 12.9% (male 1,088,860/female 1,094,574) 65 years and over: 17.6% (male 1,331,258/female 1,633,067) (2014 est.) |
| New Caledonia |
0-14 years: 23.6% (male 32,311/female 30,926) 15-24 years: 17% (male 23,218/female 22,260) 25-54 years: 42.8% (male 57,646/female 56,939) 55-64 years: 8.1% (male 10,698/female 11,128) 65 years and over: 8.5% (male 10,135/female 12,579) (2014 est.) |
| New Zealand |
0-14 years: 20% (male 450,985/female 429,184) 15-24 years: 13.9% (male 313,711/female 298,427) 25-54 years: 40.4% (male 890,678/female 888,565) 55-64 years: 11.4% (male 245,084/female 255,879) 65 years and over: 14.3% (male 290,429/female 338,974) (2014 est.) |
| Nicaragua |
0-14 years: 29.3% (male 873,545/female 839,853) 15-24 years: 22.4% (male 657,076/female 652,856) 25-54 years: 38% (male 1,051,656/female 1,173,084) 55-64 years: 5.4% (male 147,405/female 169,618) 65 years and over: 4.8% (male 127,699/female 155,849) (2014 est.) |
| Nigeria |
0-14 years: 43.2% (male 39,151,304/female 37,353,737) 15-24 years: 19.3% (male 17,486,117/female 16,732,533) 25-54 years: 30.5% (male 27,697,644/female 26,285,816) 55-64 years: 3.9% (male 3,393,631/female 3,571,301) 65 years and over: 3.1% (male 2,621,845/female 2,861,826) (2014 est.) |
| Niger |
0-14 years: 49.8% (male 4,387,785/female 4,308,312) 15-24 years: 18.4% (male 1,586,720/female 1,626,457) 25-54 years: 25.9% (male 2,261,287/female 2,266,576) 55-64 years: 3.3% (male 294,446/female 274,268) 65 years and over: 2.6% (male 234,079/female 226,242) (2014 est.) |
| Northern Mariana Islands |
0-14 years: 25.9% (male 6,944/female 6,393) 15-24 years: 14.5% (male 4,133/female 3,348) 25-54 years: 44.9% (male 9,793/female 13,340) 55-64 years: 10% (male 2,798/female 2,372) 65 years and over: 4.6% (male 1,122/female 1,240) (2014 est.) |
| Norway |
0-14 years: 18.2% (male 480,176/female 456,128) 15-24 years: 13.1% (male 347,873/female 329,021) 25-54 years: 40.8% (male 1,080,339/female 1,021,370) 55-64 years: 11.7% (male 305,094/female 298,134) 65 years and over: 16.1% (male 375,909/female 453,748) (2014 est.) |
| Oman |
0-14 years: 30.4% (male 501,352/female 476,333) 15-24 years: 19.9% (male 335,404/female 304,261) 25-54 years: 42.6% (male 801,539/female 569,187) 55-64 years: 3.9% (male 67,085/female 58,254) 65 years and over: 3.3% (male 53,320/female 53,040) (2014 est.) |
| Pakistan |
0-14 years: 33.3% (male 33,595,949/female 31,797,766) 15-24 years: 21.5% (male 21,803,617/female 20,463,184) 25-54 years: 35.7% (male 36,390,119/female 33,632,395) 55-64 years: 5.1% (male 5,008,681/female 5,041,434) 65 years and over: 4.3% (male 3,951,190/female 4,490,045) (2014 est.) |
| Palau |
0-14 years: 20.5% (male 2,239/female 2,101) 15-24 years: 17.4% (male 1,835/female 1,855) 25-54 years: 46.4% (male 5,985/female 3,842) 55-64 years: 8.6% (male 642/female 1,188) 65 years and over: 7.1% (male 410/female 1,089) (2014 est.) |
| Panama |
0-14 years: 27.4% (male 504,710/female 484,166) 15-24 years: 17.3% (male 317,875/female 306,378) 25-54 years: 40.1% (male 733,588/female 714,859) 55-64 years: 7.4% (male 131,899/female 135,015) 65 years and over: 7.8% (male 129,091/female 150,850) (2014 est.) |
| Papua New Guinea |
0-14 years: 35% (male 1,165,911/female 1,125,104) 15-24 years: 19.7% (male 652,548/female 635,411) 25-54 years: 36.2% (male 1,226,213/female 1,146,951) 55-64 years: 5.2% (male 173,019/female 169,329) 65 years and over: 3.9% (male 134,396/female 123,848) (2014 est.) |
| Paraguay |
0-14 years: 26.2% (male 892,315/female 861,915) 15-24 years: 20.5% (male 691,365/female 683,653) 25-54 years: 39.5% (male 1,326,281/female 1,323,194) 55-64 years: 7.2% (male 246,869/female 236,564) 65 years and over: 6.6% (male 206,089/female 235,615) (2014 est.) |
| Peru |
0-14 years: 27.3% (male 4,184,330/female 4,040,096) 15-24 years: 19.2% (male 2,894,168/female 2,889,409) 25-54 years: 39.4% (male 5,715,542/female 6,161,540) 55-64 years: 7.3% (male 1,071,688/female 1,125,100) 65 years and over: 6.9% (male 979,854/female 1,086,208) (2014 est.) |
| Philippines |
0-14 years: 33.7% (male 18,493,668/female 17,753,359) 15-24 years: 19% (male 10,416,358/female 10,044,724) 25-54 years: 37% (male 20,031,638/female 19,796,545) 55-64 years: 5.8% (male 2,882,719/female 3,372,485) 65 years and over: 4.5% (male 2,103,596/female 2,773,139) (2014 est.) |
| Poland |
0-14 years: 14.6% (male 2,876,264/female 2,716,569) 15-24 years: 11.9% (male 2,333,627/female 2,235,228) 25-54 years: 43.8% (male 8,459,153/female 8,355,491) 55-64 years: 14.7% (male 2,658,106/female 2,973,933) 65 years and over: 15% (male 2,224,569/female 3,513,339) (2014 est.) |
| Portugal |
0-14 years: 15.9% (male 893,902/female 821,062) 15-24 years: 11.4% (male 654,102/female 579,440) 25-54 years: 42.2% (male 2,304,503/female 2,260,556) 55-64 years: 11.9% (male 599,380/female 685,279) 65 years and over: 18.6% (male 824,062/female 1,191,548) (2014 est.) |
| Puerto Rico |
0-14 years: 18.1% (male 335,142/female 319,765) 15-24 years: 14.5% (male 267,596/female 256,487) 25-54 years: 38.5% (male 665,092/female 727,412) 55-64 years: 12% (male 197,256/female 238,139) 65 years and over: 17% (male 265,674/female 348,334) (2014 est.) |
| Qatar |
0-14 years: 12.5% (male 134,477/female 130,640) 15-24 years: 13.4% (male 208,278/female 75,889) 25-54 years: 69.9% (male 1,228,151/female 256,099) 55-64 years: 3.4% (male 55,386/female 16,156) 65 years and over: 0.9% (male 11,226/female 6,858) (2014 est.) |
| Romania |
0-14 years: 14.6% (male 1,628,220/female 1,541,914) 15-24 years: 11.3% (male 1,258,746/female 1,197,681) 25-54 years: 45.7% (male 5,021,370/female 4,916,576) 55-64 years: 13% (male 1,320,781/female 1,508,878) 65 years and over: 15.4% (male 1,346,864/female 1,988,841) (2014 est.) |
| Russia |
0-14 years: 16.4% (male 11,980,138/female 11,344,818) 15-24 years: 10.7% (male 7,828,947/female 7,482,143) 25-54 years: 45.8% (male 31,928,886/female 33,319,671) 55-64 years: 13.8% (male 8,408,637/female 11,287,153) 65 years and over: 13.3% (male 5,783,983/female 13,105,896) (2014 est.) |
| Rwanda |
0-14 years: 42.1% (male 2,617,472/female 2,575,429) 15-24 years: 18.9% (male 1,166,258/female 1,167,934) 25-54 years: 32.5% (male 2,010,034/female 1,994,582) 55-64 years: 4% (male 229,759/female 267,430) 65 years and over: 2.5% (male 125,862/female 182,378) (2014 est.) |
| Saint Barthelemy |
0-14 years: 17.8% (male 664/female 631) 15-24 years: 6.9% (male 262/female 237) 25-54 years: 46.1% (male 1,829/female 1,524) 55-64 years: 15% (male 590/female 501) 65 years and over: 14.2% (male 514/female 515) (2014 est.) |
| Saint Helena, Ascension, and Tristan da Cunha |
0-14 years: 16.9% (male 669/female 643) 15-24 years: 11.9% (male 471/female 455) 25-54 years: 45.1% (male 1,737/female 1,773) 55-64 years: 12.4% (male 508/female 455) 65 years and over: 13.7% (male 543/female 522) (2014 est.) |
| Saint Kitts and Nevis |
0-14 years: 21.4% (male 5,520/female 5,518) 15-24 years: 15.4% (male 3,904/female 4,028) 25-54 years: 45.1% (male 11,869/female 11,384) 55-64 years: 10.2% (male 2,637/female 2,610) 65 years and over: 7.9% (male 1,834/female 2,234) (2014 est.) |
| Saint Lucia |
0-14 years: 21.2% (male 17,814/female 16,809) 15-24 years: 16.6% (male 13,701/female 13,368) 25-54 years: 42.9% (male 33,695/female 36,445) 55-64 years: 8.8% (male 6,657/female 7,717) 65 years and over: 10.5% (male 7,760/female 9,396) (2014 est.) |
| Saint Martin |
0-14 years: 26.6% (male 4,179/female 4,216) 15-24 years: 10.8% (male 1,721/female 1,678) 25-54 years: 47.2% (male 7,046/female 7,836) 55-64 years: 8.5% (male 1,246/female 1,420) 65 years and over: 6.9% (male 978/female 1,210) (2014 est.) |
| Saint Pierre and Miquelon |
0-14 years: 16.3% (male 481/female 450) 15-24 years: 8.5% (male 249/female 235) 25-54 years: 43.5% (male 1,234/female 1,252) 55-64 years: 13.9% (male 416/female 378) 65 years and over: 17.9% (male 421/female 600) (2014 est.) |
| Saint Vincent and the Grenadines |
0-14 years: 22.9% (male 11,858/female 11,661) 15-24 years: 16.7% (male 8,687/female 8,528) 25-54 years: 42.6% (male 22,781/female 21,065) 55-64 years: 9.2% (male 4,873/female 4,634) 65 years and over: 8.6% (male 4,083/female 4,748) (2014 est.) |
| Samoa |
0-14 years: 33.4% (male 33,842/female 31,749) 15-24 years: 20.1% (male 20,227/female 19,200) 25-54 years: 35.2% (male 35,872/female 33,355) 55-64 years: 6% (male 5,955/female 5,770) 65 years and over: 5.4% (male 4,647/female 6,011) (2014 est.) |
| San Marino |
0-14 years: 16% (male 2,779/female 2,445) 15-24 years: 10.9% (male 1,822/female 1,733) 25-54 years: 42.4% (male 6,552/female 7,328) 55-64 years: 12% (male 1,957/female 1,957) 65 years and over: 18.8% (male 2,756/female 3,413) (2014 est.) |
| Sao Tome and Principe |
0-14 years: 43.5% (male 42,170/female 40,750) 15-24 years: 19.8% (male 19,085/female 18,573) 25-54 years: 30.3% (male 28,232/female 29,410) 55-64 years: 3.5% (male 3,010/female 3,612) 65 years and over: 2.9% (male 2,523/female 3,063) (2014 est.) |
| Saudi Arabia |
0-14 years: 27.6% (male 3,869,961/female 3,681,616) 15-24 years: 19.3% (male 2,832,538/female 2,458,339) 25-54 years: 45.4% (male 7,086,004/female 5,323,373) 55-64 years: 4.5% (male 674,571/female 555,136) 65 years and over: 3.2% (male 444,302/female 420,146) (2014 est.) |
| Senegal |
0-14 years: 42.5% (male 2,908,431/female 2,880,258) 15-24 years: 20.5% (male 1,388,530/female 1,401,109) 25-54 years: 30.4% (male 1,892,403/female 2,253,576) 55-64 years: 3.8% (male 225,942/female 289,920) 65 years and over: 2.9% (male 179,444/female 216,314) (2014 est.) |
| Serbia |
0-14 years: 14.8% (male 549,469/female 515,988) 15-24 years: 11.6% (male 432,471/female 407,367) 25-54 years: 41.6% (male 1,512,888/female 1,488,099) 55-64 years: 14.7% (male 511,516/female 551,117) 65 years and over: 17.2% (male 508,751/female 732,098) (2014 est.) |
| Seychelles |
0-14 years: 20.9% (male 9,808/female 9,320) 15-24 years: 14.2% (male 6,827/female 6,190) 25-54 years: 49.4% (male 23,787/female 21,456) 55-64 years: 8.2% (male 3,915/female 3,632) 65 years and over: 7.3% (male 2,592/female 4,123) (2014 est.) |
| Sierra Leone |
0-14 years: 41.9% (male 1,198,553/female 1,208,775) 15-24 years: 18.8% (male 524,819/female 557,142) 25-54 years: 31.6% (male 872,284/female 943,626) 55-64 years: 3.9% (male 101,856/female 123,164) 65 years and over: 3.7% (male 91,198/female 122,308) (2014 est.) |
| Singapore |
0-14 years: 13.4% (male 381,452/female 364,050) 15-24 years: 17.8% (male 487,593/female 502,637) 25-54 years: 50.3% (male 1,365,872/female 1,434,495) 55-64 years: 10% (male 279,243/female 278,852) 65 years and over: 8.5% (male 214,665/female 258,442) (2014 est.) |
| Sint Maarten |
0-14 years: 19.7% (male 3,986/female 3,704) 15-24 years: 16.3% (male 3,130/female 3,253) 25-54 years: 45.3% (male 8,626/female 9,077) 55-64 years: 12.9% (male 2,448/female 2,596) 65 years and over: 5.8% (male 1,087/female 1,181) (2013 est.) |
| Slovakia |
0-14 years: 15.2% (male 422,636/female 403,626) 15-24 years: 12.2% (male 341,500/female 322,287) 25-54 years: 45.2% (male 1,241,930/female 1,218,706) 55-64 years: 13.5% (male 347,438/female 388,461) 65 years and over: 13.9% (male 288,010/female 468,989) (2014 est.) |
| Slovenia |
0-14 years: 13.4% (male 137,407/female 129,111) 15-24 years: 10% (male 101,754/female 96,973) 25-54 years: 43.9% (male 441,079/female 432,476) 55-64 years: 14.8% (male 145,013/female 148,704) 65 years and over: 17.9% (male 142,954/female 212,821) (2014 est.) |
| Solomon Islands |
0-14 years: 36.2% (male 113,744/female 107,193) 15-24 years: 20% (male 62,656/female 59,280) 25-54 years: 35.4% (male 109,891/female 105,760) 55-64 years: 4.4% (male 13,197/female 13,359) 65 years and over: 4.1% (male 11,952/female 12,851) (2014 est.) |
| Somalia |
0-14 years: 44% (male 2,293,746/female 2,298,442) 15-24 years: 18.9% (male 995,102/female 970,630) 25-54 years: 31.2% (male 1,681,705/female 1,571,586) 55-64 years: 3.6% (male 180,622/female 199,059) 65 years and over: 2.3% (male 92,707/female 144,444) (2014 est.) |
| South Africa |
0-14 years: 28.3% (male 6,859,518/female 6,815,185) 15-24 years: 20.2% (male 4,914,394/female 4,866,121) 25-54 years: 38.2% (male 9,543,746/female 8,923,605) 55-64 years: 7.1% (male 1,470,282/female 1,950,499) 65 years and over: 6.3% (male 1,205,657/female 1,826,638) (2014 est.) |
| South Sudan |
0-14 years: 45.8% (male 2,699,556/female 2,593,241) 15-24 years: 19.9% (male 1,210,962/female 1,084,810) 25-54 years: 29.1% (male 1,622,776/female 1,742,842) 55-64 years: 3.2% (male 198,106/female 166,664) 65 years and over: 2.1% (male 136,932/female 106,806) (2014 est.) |
| Spain |
0-14 years: 15.4% (male 3,791,781/female 3,575,157) 15-24 years: 9.6% (male 2,370,289/female 2,212,511) 25-54 years: 45.9% (male 11,158,451/female 10,752,197) 55-64 years: 11.4% (male 2,662,055/female 2,799,379) 65 years and over: 17.6% (male 3,582,643/female 4,833,478) (2014 est.) |
| Sri Lanka |
0-14 years: 24.7% (male 2,758,360/female 2,648,073) 15-24 years: 14.9% (male 1,651,901/female 1,606,465) 25-54 years: 42.1% (male 4,504,395/female 4,708,288) 55-64 years: 9.5% (male 966,295/female 1,117,310) 65 years and over: 8.7% (male 812,669/female 1,092,689) (2014 est.) |
| Sudan |
0-14 years: 40.8% (male 7,356,059/female 7,131,497) 15-24 years: 20.2% (male 3,704,700/female 3,476,847) 25-54 years: 31.8% (male 5,465,816/female 5,800,619) 55-64 years: 3.9% (male 737,831/female 652,428) 65 years and over: 3.3% (male 633,083/female 523,353) (2014 est.) |
| Suriname |
0-14 years: 26.2% (male 76,565/female 73,676) 15-24 years: 17.6% (male 51,322/female 49,313) 25-54 years: 44.1% (male 128,620/female 124,034) 55-64 years: 6.5% (male 18,140/female 19,158) 65 years and over: 5.7% (male 14,041/female 18,442) (2014 est.) |
| Swaziland |
0-14 years: 36.5% (male 261,715/female 255,949) 15-24 years: 22.3% (male 160,283/female 156,685) 25-54 years: 33.2% (male 241,958/female 229,140) 55-64 years: 4.2% (male 23,739/female 36,469) 65 years and over: 3.8% (male 21,321/female 32,364) (2014 est.) |
| Sweden |
0-14 years: 16.9% (male 847,611/female 800,213) 15-24 years: 12.3% (male 617,054/female 582,755) 25-54 years: 39.2% (male 1,937,091/female 1,872,070) 55-64 years: 11.7% (male 571,079/female 568,093) 65 years and over: 19.8% (male 882,653/female 1,045,190) (2014 est.) |
| Switzerland |
0-14 years: 15.1% (male 627,952/female 591,528) 15-24 years: 11.4% (male 469,536/female 451,547) 25-54 years: 43.9% (male 1,775,571/female 1,760,456) 55-64 years: 12% (male 484,278/female 486,220) 65 years and over: 17.5% (male 616,009/female 798,419) (2014 est.) |
| Syria |
0-14 years: 33.1% (male 3,046,922/female 2,898,060) 15-24 years: 20.2% (male 1,833,802/female 1,789,854) 25-54 years: 37.9% (male 3,406,744/female 3,396,756) 55-64 years: 4.8% (male 429,644/female 440,980) 65 years and over: 3.9% (male 320,946/female 387,931) (2014 est.) |
| Taiwan |
0-14 years: 14% (male 1,683,381/female 1,575,789) 15-24 years: 13.4% (male 1,613,197/female 1,526,344) 25-54 years: 47.4% (male 5,539,606/female 5,539,654) 55-64 years: 13.2% (male 1,506,657/female 1,571,208) 65 years and over: 12% (male 1,301,420/female 1,502,672) (2014 est.) |
| Tajikistan |
0-14 years: 33% (male 1,352,150/female 1,304,615) 15-24 years: 20.1% (male 819,936/female 796,211) 25-54 years: 38.9% (male 1,547,863/female 1,586,218) 55-64 years: 4.8% (male 178,161/female 210,616) 65 years and over: 3.2% (male 107,137/female 148,605) (2014 est.) |
| Tanzania |
0-14 years: 44.6% (male 11,173,655/female 10,962,186) 15-24 years: 19.5% (male 4,838,216/female 4,841,338) 25-54 years: 29.5% (male 7,340,129/female 7,289,483) 55-64 years: 3.5% (male 745,214/female 985,524) 65 years and over: 2.9% (male 629,483/female 833,910) (2014 est.) |
| Thailand |
0-14 years: 17.6% (male 6,117,993/female 5,827,981) 15-24 years: 15% (male 5,194,332/female 4,999,669) 25-54 years: 46.9% (male 15,685,882/female 16,097,245) 55-64 years: 10.9% (male 3,468,620/female 3,893,925) 65 years and over: 9.5% (male 2,830,418/female 3,625,336) (2014 est.) |
| Timor-Leste |
0-14 years: 42.4% (male 261,794/female 247,486) 15-24 years: 19.8% (male 120,256/female 117,268) 25-54 years: 29.3% (male 170,179/female 182,278) 55-64 years: 4.8% (male 29,867/female 28,156) 65 years and over: 3.7% (male 21,214/female 23,044) (2014 est.) |
| Togo |
0-14 years: 40.7% (male 1,499,011/female 1,490,513) 15-24 years: 19.7% (male 723,237/female 726,350) 25-54 years: 32.1% (male 1,173,492/female 1,188,961) 55-64 years: 4.2% (male 145,743/female 163,384) 65 years and over: 3.3% (male 104,277/female 136,406) (2014 est.) |
| Tonga |
0-14 years: 35.6% (male 19,272/female 18,661) 15-24 years: 19.3% (male 10,514/female 10,016) 25-54 years: 33.3% (male 17,717/female 17,732) 55-64 years: 5.5% (male 2,852/female 3,013) 65 years and over: 6.3% (male 3,044/female 3,619) (2014 est.) |
| Trinidad and Tobago |
0-14 years: 19.4% (male 121,386/female 116,661) 15-24 years: 13% (male 82,779/female 76,785) 25-54 years: 46.9% (male 298,156/female 276,205) 55-64 years: 11.1% (male 67,738/female 68,535) 65 years and over: 9.5% (male 50,107/female 65,564) (2014 est.) |
| Tunisia |
0-14 years: 23% (male 1,298,262/female 1,219,086) 15-24 years: 16% (male 879,755/female 871,954) 25-54 years: 44.6% (male 2,373,765/female 2,509,750) 55-64 years: 8.4% (male 468,278/female 454,170) 65 years and over: 7.9% (male 423,350/female 439,151) (2014 est.) |
| Turkey |
0-14 years: 25.5% (male 10,660,110/female 10,179,850) 15-24 years: 16.8% (male 6,989,099/female 6,709,480) 25-54 years: 42.9% (male 17,650,790/female 17,358,730) 55-64 years: 8.1% (male 3,289,605/female 3,291,199) 65 years and over: 6.7% (male 2,517,219/female 2,973,310) (2014 est.) |
| Turkmenistan |
0-14 years: 26.4% (male 691,076/female 673,310) 15-24 years: 20.2% (male 526,027/female 519,474) 25-54 years: 42.3% (male 1,082,821/female 1,102,716) 55-64 years: 6.9% (male 168,543/female 188,742) 65 years and over: 4.2% (male 95,391/female 123,843) (2014 est.) |
| Turks and Caicos Islands |
0-14 years: 22.1% (male 5,536/female 5,332) 15-24 years: 14.8% (male 3,552/female 3,715) 25-54 years: 53.5% (male 13,333/female 12,931) 55-64 years: 5.3% (male 1,434/female 1,188) 65 years and over: 4.2% (male 910/female 1,139) (2014 est.) |
| Tuvalu |
0-14 years: 29.6% (male 1,636/female 1,553) 15-24 years: 20.6% (male 1,176/female 1,048) 25-54 years: 36.2% (male 1,901/female 1,999) 55-64 years: 8.2% (male 360/female 525) 65 years and over: 5.4% (male 242/female 342) (2014 est.) |
| Uganda |
0-14 years: 48.7% (male 8,714,354/female 8,765,900) 15-24 years: 21.2% (male 3,775,679/female 3,833,574) 25-54 years: 25.7% (male 4,618,088/female 4,615,616) 55-64 years: 2.4% (male 405,740/female 447,118) 65 years and over: 2.1% (male 327,771/female 415,075) (2014 est.) |
| Ukraine |
0-14 years: 14% (male 3,191,247/female 3,013,575) 15-24 years: 11.5% (male 2,610,172/female 2,501,795) 25-54 years: 45% (male 9,639,882/female 10,274,240) 55-64 years: 13.6% (male 2,581,380/female 3,433,568) 65 years and over: 15.9% (male 2,310,652/female 4,734,902) (2014 est.) |
| United Arab Emirates |
0-14 years: 20.7% (male 597,476/female 570,275) 15-24 years: 13.7% (male 457,647/female 311,673) 25-54 years: 61.5% (male 2,639,018/female 820,915) 55-64 years: 3.1% (male 132,718/female 43,624) 65 years and over: 1% (male 35,071/female 20,388) (2014 est.) |
| United Kingdom |
0-14 years: 17.3% (male 5,660,891/female 5,380,448) 15-24 years: 12.6% (male 4,116,859/female 3,945,146) 25-54 years: 41% (male 13,299,731/female 12,843,937) 55-64 years: 11.5% (male 3,621,110/female 3,702,717) 65 years and over: 17.5% (male 4,990,024/female 6,182,114) (2014 est.) |
| United States |
0-14 years: 19.4% (male 31,580,349/female 30,221,106) 15-24 years: 13.7% (male 22,436,057/female 21,321,861) 25-54 years: 39.9% (male 63,452,792/female 63,671,631) 55-64 years: 12.6% (male 19,309,019/female 20,720,284) 65 years and over: 14.5% (male 20,304,644/female 25,874,360) (2014 est.) |
| Uruguay |
0-14 years: 21% (male 356,851/female 344,576) 15-24 years: 16% (male 269,820/female 262,830) 25-54 years: 38.9% (male 639,766/female 658,257) 55-64 years: 10.1% (male 158,170/female 178,194) 65 years and over: 13.9% (male 185,132/female 279,376) (2014 est.) |
| Uzbekistan |
0-14 years: 24.9% (male 3,693,838/female 3,514,734) 15-24 years: 20.5% (male 3,008,779/female 2,934,534) 25-54 years: 43% (male 6,178,921/female 6,255,715) 55-64 years: 6.8% (male 926,129/female 1,036,576) 65 years and over: 4.8% (male 588,881/female 791,609) (2014 est.) |
| Vanuatu |
0-14 years: 37.3% (male 50,810/female 48,753) 15-24 years: 19.8% (male 26,341/female 26,620) 25-54 years: 34.2% (male 44,732/female 46,545) 55-64 years: 5% (male 6,751/female 6,599) 65 years and over: 3.7% (male 5,020/female 4,766) (2014 est.) |
| Venezuela |
0-14 years: 28.2% (male 4,143,840/female 3,985,489) 15-24 years: 18.8% (male 2,723,856/female 2,697,672) 25-54 years: 39.6% (male 5,614,922/female 5,818,903) 55-64 years: 7.5% (male 1,030,898/female 1,137,894) 65 years and over: 5.9% (male 755,183/female 959,829) (2014 est.) |
| Vietnam |
0-14 years: 24.3% (male 11,946,656/female 10,800,602) 15-24 years: 17.8% (male 8,598,360/female 8,023,377) 25-54 years: 44.8% (male 20,983,638/female 20,861,243) 55-64 years: 7.4% (male 3,149,494/female 3,763,309) 65 years and over: 5.7% (male 2,034,721/female 3,260,435) (2014 est.) |
| Virgin Islands |
0-14 years: 17.8% (male 9,386/female 9,207) 15-24 years: 10.3% (male 4,931/female 5,801) 25-54 years: 39% (male 18,350/female 22,231) 55-64 years: 14.3% (male 7,123/female 7,796) 65 years and over: 18.6% (male 8,758/female 10,587) (2014 est.) |
| Wallis and Futuna |
0-14 years: 23.4% (male 1,902/female 1,741) 15-24 years: 17.8% (male 1,449/female 1,320) 25-54 years: 40.7% (male 3,147/female 3,183) 55-64 years: 9.2% (male 719/female 709) 65 years and over: 8.9% (male 663/female 728) (2014 est.) |
| West Bank |
0-14 years: 33.7% (male 472,480/female 448,078) 15-24 years: 21.7% (male 303,578/female 289,119) 25-54 years: 36.4% (male 511,443/female 483,276) 55-64 years: 4.4% (male 59,762/female 59,372) 65 years and over: 3.8% (male 43,629/female 60,315) (2014 est.) |
| Western Sahara |
0-14 years: 38.1% (male 106,868/female 104,574) 15-24 years: 19.7% (male 54,970/female 54,217) 25-54 years: 33.7% (male 91,986/female 95,114) 55-64 years: 4.8% (male 12,408/female 14,159) 65 years and over: 3.7% (male 9,002/female 11,497) (2014 est.) |
| World |
0-14 years: 25.79% (male 956,360,171/female 893,629,520) 15-24 years: 16.61% (male 613,806,639/female 577,904,561) 25-54 years: 40.78% (male 1,478,739,525/female 1,447,244,791) 55-64 years: 8.51% (male 298,092,946/female 312,206,795) 65 years and over: 8.32% (male 265,453,689/female 331,172,947) (2014 est.) |
| Yemen |
0-14 years: 41.7% (male 5,523,744/female 5,336,795) 15-24 years: 21.1% (male 2,789,510/female 2,709,263) 25-54 years: 30.9% (male 4,106,917/female 3,933,852) 55-64 years: 3.7% (male 450,185/female 515,255) 65 years and over: 2.6% (male 320,426/female 367,019) (2014 est.) |
| Zambia |
0-14 years: 46.2% (male 3,393,388/female 3,362,850) 15-24 years: 20% (male 1,465,009/female 1,467,555) 25-54 years: 28.5% (male 2,105,768/female 2,072,314) 55-64 years: 2.9% (male 199,098/female 222,214) 65 years and over: 2.4% (male 151,471/female 198,838) (2014 est.) |
| Zimbabwe |
0-14 years: 38.4% (male 2,670,642/female 2,615,440) 15-24 years: 22.1% (male 1,527,964/female 1,520,255) 25-54 years: 32.3% (male 2,298,355/female 2,153,659) 55-64 years: 3.6% (male 180,554/female 318,410) 65 years and over: 3.5% (male 193,385/female 293,057) (2014 est.) |


Japanese Random Characters
Versão em Português do Brasil
- This is a free katakana, hiragana and kanji generator, written in JavaScript, HTML and CSS.
- In the (distant) future, funcionality to export the output to PDF might me added. If you want, you can visit my other project that does that with PHP: http://php-jpn2file.rhcloud.com/


root( z, n )
The nth root of z in Math. The inverse of pow.
Real part on the real axis:
Imaginary part on the real axis:
Real part on the imaginary axis:
Imaginary part on the imaginary axis:
Real part on the complex plane:
Imaginary part on the complex plane:
Absolute value on the complex plane:
Function category: basic functions


Hong Kong Protesters Increasingly Desperate as Campus Standoff Continues 20 Nov 2019, 19:07 Less than 200 student protesters remain barricaded inside a Hong Kong university that has been surrounded by riot police since Sunday. Over the past 24 hours, a slow trickle of pro-democracy demonstrators have left the campus, either by attempting to flee or by surrendering to police


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Manager of resource and link documents in the couch database.
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verify_links_implicit(self,
occi_descriptions,
creator,
db_occi_ids_locs)
Checks the integrity of internal resource links (Called only during
the creation of a new resource instance) Args:
|
source code
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update_resource(self,
user_id,
old_description,
occi_description,
db_occi_ids_locs)
Verifies the validity of a resource's new data Args:
|
source code
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Inherited from object :
__delattr__ ,
__format__ ,
__getattribute__ ,
__hash__ ,
__init__ ,
__new__ ,
__reduce__ ,
__reduce_ex__ ,
__repr__ ,
__setattr__ ,
__sizeof__ ,
__str__ ,
__subclasshook__
|


continue - Skip to the next iteration of a loop
continue
This command is typically invoked inside the body of a looping command
such as for or foreach or while.
It returns a TCL_CONTINUE code, which causes a continue exception
to occur.
The exception causes the current script to be aborted
out to the innermost containing loop command, which then
continues with the next iteration of the loop.
Catch exceptions are also handled in a few other situations, such
as the catch command and the outermost scripts of procedure
bodies.
Print a line for each of the integers from 0 to 10 except 5:
for {set x 0} {$x<10} {incr x} {
if {$x == 5} {
continue
}
puts "x is $x"
}
break, for, foreach, return, while
continue, iteration, loop
Copyright © 1993-1994 The Regents of the University of California.
Copyright © 1994-1996 Sun Microsystems, Inc.
Copyright © 1995-1997 Roger E. Critchlow Jr.


randRange(0, 359)
randRange(4, 7)
[(LENGTH/2) * cos( TILT ), (LENGTH/2) * sin( TILT )]
[-1 * (LENGTH/2) * cos( TILT ), -1 * (LENGTH/2) * sin( TILT )]
LENGTH - 2
[(INNER_LENGTH/2) * cos( TILT ), (INNER_LENGTH/2) * sin( TILT )]
[-1 * (INNER_LENGTH/2) * cos( TILT ), -1 * (INNER_LENGTH/2) * sin( TILT )]
{ r: 0.2, fill: "blue", stroke: "none" }
Identify this figure.
init({
range: [ [-6, 6], [-6, 6] ],
scale: 20
});
line( END1, END2 );
circle( END1, DOT_ATTRS );
circle( END2, DOT_ATTRS );
Line segment
This one-dimensional figure has two endpoints and a set length (it doesn't go on forever).
A 1D figure that has two endpoints and a set length is a line segment.
line( END1, END2, { arrows: "->" } );
circle( END1, DOT_ATTRS );
circle( INNER2, DOT_ATTRS );
Ray
This figure is one-dimensional and has one endpoint. It goes on forever in the other direction, though.
Therefore, this figure is a ray.
line( END1, END2, { arrows: "->" } );
line( END2, END1, { arrows: "->" } );
circle( INNER1, DOT_ATTRS );
circle( INNER2, DOT_ATTRS );
Line
This figure is straight, one-dimensional, and it goes on forever in both directions. It doesn't have any endpoints.
That description means this figure is a line.


[1]
Absolutely none!; See subject line
[2]
The price...; Bad software, bad customer suport, BAD product!!!


Covert Ops
Operation Resistance
Operation R was started by Governor Wilhelm and King Lenin. It is a covert operation
staged in Timon to spy on the enemy and steal technology. Commander Fleet heads the operation in Timon and
directs his agents. Some duties of an Agent of Operation R include spying, espionage, Assassinations, hacking,
and Bombing. As an agent the most important rule is the code of silence. Operation R must maintain its secrecy
at all times. Sharing any information about the Operation to anyone can result in being courtmarshalled and
arrested. Members of operation R include Agents from Kandirk and Ivory.
Beta
There are rumors of a group working in timon called Beta. There is very little
information on their group. What we do know is that they are somehow tied to the Eastland Republic.
Back


Isar735.github.io
The Department of English, encompasses our undergraduate English programme as well as more specialist disciplines such as Creative Writing and Publishing which. Anna Davis Anna is the founder and Director of the Curtis Brown Creative writing school. She is the author of five novels, published around the world in 20 languages:. Young Writers have promoted poetry and creative writing within schools and poetry competitions for the past 18 years.
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105 thoughts on “ The 5 Steps to Writing a Novel that Sells ” arbazkhan December 29, 2015 at 10:03 am. I found so many entertaining stuff November and December Literary Festivals 2018. BookTastic Book Festival. Children's book festival, Bedford. Saturday 3rd November, 2018. Bridport Literary Festival. Regular Creative Writing Workshops Groups in Cardiff. This group meets at the Wales Millenium Centre and is aimed at people with a long term health condition. Arvon residential creative writing courses and retreats. We’re ArtisOn, a small, enthusiastic, not-for-profit team providing art and craft workshops in Masham at the heart of the Yorkshire Dales.
DylanThomas.com - The poet and author Dylan Thomas. Literary Festivals.Hundreds of annual Book Festival.
Bedford International Writing Competition. WELCOME to the Bedford International Writing Competition. To celebrate the fifth year of the Competition we are delighted.
Fast Essays: Creative writing workshops wales best price. The 5 Steps to Writing a Novel that Sells - WritersDigest.com.
Arvon is a charity that runs five-day residential creative writing courses and retreats in rural writing houses, offering the time and space to write. Join poet Patrick Jones for a workshop for people living with dementia and their friends, families. Creative Youth Network builds relationships with young people to help them reach their potential and live fulfilling lives. The Muse Writers Center's Facilitators Teachers. Stagecoach Performing Arts is the UK's largest network of part-time performing arts schools for children aged 4-18 yrs. Find a school near you today. D AD Creative Writing for Advertising courses. 37 Incredible Writing Retreats to Attend Stagecoach Southgate performing arts school. Singing, dancing acting classes for kids aged 4-18. Boost children's confidence. Join the fun today.
A large collection of free training resources and exercises to enhance your corporate training. Browse training activities on soft skills, productivity and management. Young Writers Poetry and creative writing for schools. The website of the Bronte Parsonage Museum and Bronte Society, Whats on at the Bronte Parsonage Museum Haworth West Yorkshire and What events are being
Prose and cons … a creative writing workshop at the Ty Newydd National Writers Centre of Wales, Criccieth. Photograph: Cymru/Alamy Hanif Kureishi.
Dementia-friendly Creative Writing - National Museum Wales. D AD Masterclasses power up careers and future-proof businesses by focusing on the creative skills of tomorrow, taught by the stars of today. Delivered online. Regular Creative Writing Workshops Writing Groups in Cardiff. The Burry Man Writers Center resources for a worldwide community of writers Script Submission Theater Resources:. Encouraging Creative Writing - Bedford Writing Competition.
Workshops in schools help your school find educational workshops in schools and creative workshops in schools Workshops in Schools for art workshops in schools, drama.
Creative writing workshops wales to write about creative writing essays on discovery. The extremes creative writing workshops wales of the drawings. Workshops in Schools - Educational Workshops in Schools.
Ready to let your creativity flow? A writing retreat Creative writing courses in Snowdonia, North Wales with author Pete Marshall. Free Training Materials, Exercises, Ice Breakers. Find Creative Writing courses in Wales - Creative, craft. PrimeVR Virtual Reality (VR) for Schools Nationwide. Stagecoach Performing Arts School - Performing The Writing Workshop is Australia s leading creative writing workshop for children and young people. Based in Sydney, we offer face-to-face writing workshops after. Performing Arts School in Southgate Stagecoach. Creative Writing Groups Wales - Autumn Masterclass:. Creative Youth Network Events Creative Courses.
Creative writing groups wales. Jan can be contacted at: Jan Fortune and North Wales writer, Pete Marshall for an inspiring week of creative writing workshops. Department of English City, University of London. Can creativity be taught? How far can you be creative when translating other people's work? Listen to translators, authors and creative writing teachers The Writing Workshop, Australia s leading creative writing. Creative writing workshops wales. Swansea’s Creative Writing research programme offers a choice from a spectrum of skills and a research dialogue across genres, from poetry and fiction.
With expert tuition and small class sizes, this course gives keen writers the opportunity to explore and develop their craft. Our two-year, part-time. Young Writers have promoted poetry and creative writing within schools and poetry competitions for the past 19 years. Creative Writing Workshops in Wrexham - Literature Wales. Published authors teach our creative writing courses. What's creative about creative writing? - OpenLearn MESSAGE FROM OUR WINNER. How many opportunities does a first-time play writer like me get to see their work professionally produced in front of over 300 people. Presentation Skills Training, Public Speaking Courses.


Enim option nonummy at typi habent cavaliers independence andre norton the gold coast. Quarta euismod dennis kucinich legentis mark mothersbaugh bentleyville. Dolore ii in esse etiam brooklyn glenwillow nobis delenit shaker heights aliquam eros.
Here’s the image that was used for the border above:


How to estimate the cost of projects?
Easily calculate the cost of any project using this handy tool.
Only enter activities you have to do and the number of estimated hours
Optimistic Time:This is the fastest time an activity can be completed. For this, the assumption is made that all the necessary resources are available and all predecessor activities are completed as planned.
Most Likely Time:Most of the times, project managers are asked only to submit one estimate. In that case, this is the estimate that goes to the upper management.
Pessimistic Time:This is the maximum time required to complete an activity. In this case, it is assumed that many things go wrong related to the activity. A lot of rework and resource unavailability are assumed when this estimation is derived.
Enter your project information:
Project's name:
Cost per hour $: dollars.
| # | Activitie name | Optimistic Time | Most Likely Time | Pessimistic Time | |
|---|---|---|---|---|---|
| {{ $index+1 }} | hours. |
hours. |
hours. |
Your project ({{title}}) could be about cost: ${{ totalCost }} with {{p3}} Hours.
Details
| Probability of duration of these activities: | 68% | 95% | 97% |
|---|---|---|---|
| Hours | {{p1}} Hours | {{p2}} Hours | {{p3}} Hours |


PSALMS 69
A psalm written by David for the choir director.
1 O God, save me
because I am in great danger.
It is as though the flood water were up to my neck, and I were about to drown.
2 I continue to sink in the deep mud,
and there is no solid ground for me to stand on.
I am in deep water,
and the flood is swirling around me.
3 I am exhausted from calling out for help;
my throat is very dry.
Because I have cried so much as I have waited for God to help me,
my eyes are swollen from tears.
4 Those who hate me when there is no reason to hate me
are more than the number of hairs on my head!
Those who want to get rid of me are strong,
and they tell lies about me.
They demand that I return to them things that I did not steal!
5 O God, you see the sins that I have committed.
You know that I have foolishly disobeyed your laws.
6 O Yahweh God, Commander of the angel armies,
do not allow the wrong things that I have done
cause those who trust in you to be disappointed.

They have thoroughly humiliated me.
8 Even my own older brothers act as if they do not know me;
they treat me like a foreigner.
9 Some people have despised your temple;
but because I have tried to keep your temple holy, people have caused trouble for me.
So it is as though those who are insulting you are also insulting me.
10 When I have humbled myself and fasted
to show my sadness about the disgraceful things that they have done to your temple,
they just insult me.
11 When I put on rough sackcloth to show that I am sad,
they laugh at me.
12 Even the elders of the city say bad things about me.
The drunkards of the city sing disgusting songs about me.
13 But Yahweh, I will continue praying to you.
At the time that you choose, answer me and rescue me
because you faithfully love me, as you have promised to do.
14 Do not allow me to sink anymore in the mud.

Lift me up out of these deep waters!
15 Do not allow the floods to swirl around me;
do not allow the deep mud to swallow me;
keep me from sinking into the pit of death.
16 O Yahweh, answer my prayer and help me
because you are good and love me faithfully.
17 Do not hide yourself from me;
answer me quickly
because I am in great trouble.
18 Come near to me and save me;
rescue me from my enemies.
19 You know that I am insulted
and that people shame and dishonor me;
you know who all my enemies are.
20 Their insults have deeply offended me,
and I feel helpless.
I searched for someone who would pity me,
but there was no one.
I wanted someone to encourage me,
but there was no one.
21 Instead, they gave me food that tasted like poison,
and when I was thirsty, they gave me sour wine to drink.
22 I hope their own food will kill them;
I hope that this will happen when they think that they are completely safe.
23 I hope that their eyes become dim so that they cannot see anything
and that their backs will become weaker and weaker.
24 Show them that you are very angry with them!
Because of your great anger, chase them and catch them.
25 Cause their towns to become abandoned;
may there be no one to live in their tents.
26 Do this because they persecute those whom you have punished,
they look at how those whom you have punished suffer, and they tell others about it.
27 Keep making a record of all their sins,
do not fail to punish them for the evil things that they have done.
28 Erase their names from the book containing the names of those who have eternal life;
do not include them in the list of righteous people.
29 As for me, I have pain and am suffering.
O God, protect me and rescue me.
30 When God does that, I will sing as I praise God,
and I will honor him by thanking him.
31 My doing that will please Yahweh more than sacrificing oxen,
more than offering him full grown bulls.
32 Oppressed people will see that God has rescued me,
and they will be glad.

His people will live there and again possess the land.
36 The descendants of his people will inherit it,
and those who love him will live there safely.


‘Minecraft Dungeons’ Launches April 2020
by Mike WilsonMojang and Microsoft have finally given the Diablo-esque dungeon crawler Minecraft Dungeons a release date range. The action-adventure game will launch for PlayStation 4, Xbox One, Switch, and PC in April 2020.
In Minecraft Dungeons, up to four players can battle together through action-packed, treasure-stuffed, wildly varied levels – all in an epic quest to save the villagers and take down the evil Arch-Illager. Discover a trove of powerful new weapons and items that will help you defeat ruthless swarms of new-and-nasty mobs. Fight or flee through canyons, swamps and, of course, mines!


Learning to become a developer, documenting my learning journey in a blog at the same time testing out skills learnt along the way.


Navigating (example)¶
The Cloud Control Panel enables you to manage your Rackspace Cloud infrastructure through a simple and intuitive interface. This article describes how to navigate and use some of the features of the control panel.
Product categories¶
Just a few clicks take you to the product workspace, where you can manage your cloud resources.
Product-area headings are located at the top of the panel. Click a heading to view a drop-down menu of all the products in that area.
Rackspace Cloud products are categorized under the following headings:
| Category | Products |
|---|---|
| Servers |
|
| Orchestration |
|
| Networking |
|
| Storage |
|
| Databases |
|
| Backups |
|
Resource organization¶
Several features help you organize, find, and efficiently manage your resources:
Tags are customized labels that you can add to any of the resources in your cloud infrastructure.
Filters enable you to find all resources that share the following common properties: tag, status, image, RAM, region, or type.
The list of filters is located at the left side of the control panel. When you create and tag resources, the list is automatically populated. When you select a check box next to a filter, the list of resources shows only the matching ones.
Search gives you another method for locating any asset. Enter part of the asset name, tag, or IP address in the search field in the upper-right corner of any asset listing.
Administrative actions¶
The control panel provides a variety of ways to perform administrative tasks. Whether you’re looking at a list of assets or a detailed view of a single asset, you don’t need to leave your current location to perform a task; every task you might want to perform is accessible right where you are.
- Gear icon: The gear icon to the left of a resource name which provides a drop-down menu with all available actions for that resources. The actions gear is always part of every list, whether it is a list of servers, files, or load balancers.
- Actions menu: When you’re looking at the details of a specific resource, you’ll find the Actions menu in the upper-right corner of the page.
- Edit pencils and options: You can also edit the existing setting for many resources by clicking the pencil icon or option text that appears next to the resource description.
- Pop-up boxes: When you perform an administrative action on a resource, a pop-up dialog box enables you to modify the settings or perform an action without taking you to another page.
Access to other control panels¶
You can reach the Rackspace Intelligence interface and more by selecting the option from the More Products drop-down menu at the top left of the Cloud Control Panel.


Background
Anderson’s seminal work of 1958 showed how the presence of disorder in a lattice can cause the single-particle eigenstates of a quantum system to become spatially localised. This can be understood in terms of the mismatch in energy levels at different lattice sites, which prevents single-site eigenstates from being hybridised with each other, thus hampering the transport of particles. Since its discovery, Anderson Localisation has been the subject of a vast body of work, and it is now recognized as “one of the fundamental concepts in the physics of condensed matter and disordered systems” [50 Years of Anderson Localization, 2008].
Many-Body localisation
Can Anderson-like localisation occur in interacting many-body quantum systems? This question has been the focus of great theoretical interest in recent years, leading to the definition of a many-body localised (MBL) phase. This phenomenon would provide a mechanism for many-body quantum systems not to thermalise. Characterising the many-body localised phase and identifying the MBL phase transition are important open problems.
Localisation on graphs
Motivated by the study of MBL, there has been renewed interest in the localisation properties of quantum particles on hierarchical lattices, such as the random regular graph. These systems exhibit extended non-ergodic phases, with separate Anderson-like and ergodic transitions. The investigation of fractal properties of such non-ergodic phases could help shed light on their physical properties.
Dynamical Mean Field Theory
In strongly correlated quantum systems, where interactions can not be approximated by a static mean field theory, the nature of localisation can be a contentious issue. Dynamical Mean Field Theory (DMFT) is the leading method used to treat such systems numerically and recent research using DMFT has shed some light of the role of localisation.


Catastrophic Errors
A catastrophic error usually occurs under either of two conditions:
• Code
Integrity cannot find a specified include, header, or source file (if it has the wrong path)
• the build encounters more than 100 parse errors
For example:
Parsing C file: '/space/apps/bash-0.01/shell.c'...
'space/apps/bash-0.01/shell.c', line 67: catastrophic error: could not open source file "readline/history.h"
To correct a catastrophic error that results from a missing header file, we recommend the following:
1 Verify that the missing header exists. If the file does not exist, contact your build engineer.
2 Note the directories that the missing header file exists in.
3 Add the full path to the missing header file to your compiler configuration XML file so that Code
Integrity can effectively find the file the next time it attempts to build your model, for example:
• Using the Sparc compiler for C code, edit
<CodeIntegrityInstalldir>/lib/suncc.xml
• Add the -I command line option, for example:
<cmdline nameintro="-">
C --no_microsoft -w -D__DISCOVER__ --c -I/net/unixbox/vol04/share/...
If a catastrophic error occurs due to more than 100 parse errors, see Debugging Parse Errors.


| Col. Troutman recruits ex-Green Beret John Rambo for a highly secret and dangerous mission. Teamed with freedom fighter Co Bao, Rambo goes deep into Vietnam to rescue POWs. Deserted by his own team, he's left in a hostile jungle to fight for his life, avenge the death of a woman and bring corrupt officials to justice. | |
| Genres: | Action, Adventure, Thriller, War |
| Director: | George P. Cosmatos |
| Writer: | David Morrell, Kevin Jarre, Sylvester Stallone, James Cameron |
Cast: | Rambo - Sylvester Stallone Col. Samuel Trautman - Richard Crenna Marshall Murdock - Charles Napier Lt. Col. Podovsky - Steven Berkoff Co - Julia Nickson Ericson - Martin Kove Tay - George Cheung Banks - Andy Wood Captain Vinh - William Ghent Sergeant Yushin - Voyo Goric Captain Kinh - Dana Lee Gunboat Captain - Baoan Coleman Lifer - Steve Williams P.O.W. #1 - Don Collins P.O.W. #2 - Christopher Grant P.O.W. #3 - John Sterlini P.O.W. #4 - Alain Hocquenghem P.O.W. #5 - William Rothlein Prison Guard - Tony Munafo Russian Pilot - Tom Gehrke Russian Soldier - Mason Cardiff Chief Radio Operator - Roger Cudney Tay's Soldier - Jeff Imada POW #6 - John Pankow Radio Operator - John Sabol |


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A UNESCO world heritage site, built in the 11th century, a visit to Durham would not be complete without a visit here. The castle houses Durham's University College, and admissions start from £4
Take me to the castle!Voted Britain's best building, built in 1093, and hosting over 1,700 services a year, Durham Cathedral is iconic. With over 700,000 visitors a year - a visit to Durham would be wasted without visiting this attraction.
Take me to Durham Cathedral!Durham University's 10 hectare botanical gardens can be found on the southern outskirts of the city. With special events throughout the year (we would definitely recommend their "Winter Wonderland" event held in December), this is definitely an attraction for the colder months as well as a greeat location for the summer! Think picnics in the sunshine!
Take me to the Botanical Gardens


☰
HOME
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CONTACT US
Givenchy Logo Round Earrings
£199.00
Enquire about purchasing below:
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1980 s vintage Givenchy logo round clip on earrings. Gold plated and gunmetal logo, featuring round cut Swarovski crystal details. Simply stunning.
Signed Givenchy


This web app helps you determine the character encoding of a text file. Computations happen entirely in the browser, so the file never leaves your device.
Powered by Rust and Wasm. Source is available on GitHub.


The short local time of 2010-12-12 19:27:12.345Z is
2010-12-12 19:27:12.345Z
The long local time of 2010-12-12 19:27:12.345Z is
2010-12-12 19:27:12.345Z


See also the `main verge documentation`_ for details and background on setting up and using verged remotely.

However, beginning with VERGE 0.3.3 you must create a verge.conf file in the VERGE data directory (default $HOME/.dogeconf) and set an RPC password:
rpcuser=anything
rpcpassword=anything
Once that is done, the easiest way to check whether VERGE accepts remote commands is by running VERGE again, with the command (and any parameters) as arguments. For example:
$ verged getinfo
There are two functions for this:
Use the function connect_to_local(). This automagically sorts out the connection to a verge process running on the current machine, for the current user.
conn = vergerpc.connect_to_local()
Use the function connect_to_remote(). For this function it is neccesary to explicitly specify a hostname and port to connect to, and to provide user credentials for logging in.
conn = vergerpc.connect_to_remote('foo', 'bar', host='payments.yoyodyne.com', port=8332)
For basic sending and receiving of payments, the four most important methods are
Use the method getbalance() to get the current server balance.
print "Your balance is %f" % (conn.getbalance(),)
This can be done with the method validateaddress().
rv = conn.validateaddress(foo)
if rv.isvalid:
print "The address that you provided is valid"
else:
print "The address that you provided is invalid, please correct"
The method sendtoaddress() sends a specified amount of coins to a specified address.
conn.sendtoaddress("msTGAm1ApjEJfsWfAaRVaZHRm26mv5GL73", 20.0)
To accept payments, use the method getnewaddress() to generate a new address. Give this address to the customer and store it in a safe place, to be able to check when the payment to this address has been made.
pay_to = conn.getnewaddress()
print "We will ship the pirate sandwidth after payment of 200 coins to ", pay_to
The method getreceivedbyaddress() returns how many verges have been received at a certain address. Together with the previous function, this can be used to check whether a payment has been made by the customer.
amount = conn.getreceivedbyaddress(pay_to)
if amount > 200.0:
print "Thanks, your sandwidth will be prepared and shipped."
More advanced usage of verge allows multiple accounts within one wallet. This can be useful if you are writing software for a bank, or simply want to have a clear separation between customers payments.
For this, see the Account API documentation.


-
FEEL FREE TO CONTRIBUTE TO THIS PROJECT BY FORKING, CREATING A PULL REQUEST, CREATING AN ISSUE, ETC.. I’ll be glad to answer them.
For a Stable Release:
composer require secrethash/dropmenu
For the Development Version:
composer require secrethash/dropmenu:dev-master
You can generate migration to migrate the database. The migration will create a ‘menu’ class following the structure requirements of secrethash/dropmenu
. The command for creating the migration file is:
php artisan dropdown:migrate
The above command creates the migration file in database\migrations
directory. From there you will need to migrate using the migrate
command.
php artisan migrate
Once the migration is completed, you are ready to seed your database with the menu data. Create menus and play around with it. Let me know if something goes wrong.
AGAIN:
FEEL FREE TO CONTRIBUTE TO THIS PROJECT BY FORKING, CREATING A PULL REQUEST, CREATING AN ISSUE, ETC.. I’ll be glad to answer them.
Some basics needs to be cleared out before you work on/with this package.
menus
: ID
The unique identifier.parent_id
Defined if a sub-menu is created. ID
of the parent menu item will be defined.name
Name to display.order_by
Comes handy when creating multiple menu items of same hierarchy level.link
Value supplied to the <a href="">
of the menu item.link_attr
Any extra Attributes of the Link. Like target="_blank"
.icon
Icon Class Code supplied to the <i class="">
. If using font-awesome, use full class code that is to be provided in <i>
, like fa fa-code
.type
It is used to distinguish multiple menus. For example there is a Main nav menu and Sidebar Nav Menu. So different names can be alloted to both.auth
Authentication Level can be defined here. Here 1=Authenticated Users Only, 2=Unauthenticated Users Only, 0=Both User Groups
The menu can be displayed by using the following function:
Dropmenu::display($type);
The $type
is the type provided in the type
column in the database table.