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Democracy Statistics > Gender Parity Index in primary level enrolment (1999) by country

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VIEW DATA:   Totals  
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Showing values for 1999. Select another time period:
Rank   Countries  Amount  Date  
# 1     Lesotho: 1.07886561468628  1999 Time series
# 2     Mongolia: 1.03641516828097  1999 Time series
# 3     Sweden: 1.0288875154351  1999 Time series
# 4     United States: 1.02692925804869  1999 Time series
# 5     Namibia: 1.02151156122009  1999 Time series
# 6     Tuvalu: 1.01565937954373  1999 Time series
# 7     Luxembourg: 1.01242870203348  1999 Time series
# 8     Kuwait: 1.01177701254983  1999 Time series
# 9     Maldives: 1.00914464128752  1999 Time series
# 10     Korea, South: 1.00903788206682  1999 Time series
# 11     Bahrain: 1.00860069505588  1999 Time series
# 12     United Kingdom: 1.00822526920494  1999 Time series
# 13     New Zealand: 1.0074157200767  1999 Time series
# 14     Malta: 1.00714805297383  1999 Time series
# 15     Kiribati: 1.00623883938778  1999 Time series
# 16     Nicaragua: 1.00548686762088  1999 Time series
# 17     Greece: 1.00465260668736  1999 Time series
# 18     Mauritius: 1.00415735770638  1999 Time series
# 19     Canada: 1.00358787723922  1999 Time series
# 20     Botswana: 1.0033044084383  1999 Time series
# 21     Argentina: 1.00259817398418  1999 Time series
# 22     Tanzania: 1.00255922489373  1999 Time series
# 23     Jordan: 1.00219819610705  1999 Time series
# 24     Moldova: 1.00106464962332  1999 Time series
# 25     Gabon: 1.00080013193059  1999 Time series
# 26     Kazakhstan: 1.00071156415685  1999 Time series
# 27     Georgia: 0.999376738640697  1999 Time series
# 28     Japan: 0.999230065207677  1999 Time series
# 29     Colombia: 0.999063216763703  1999 Time series
# 30     Australia: 0.998690943185299  1999 Time series
# 31     Norway: 0.998651267637299  1999 Time series
# 32     Ecuador: 0.998397678525295  1999 Time series
# 33     Denmark: 0.998159242540979  1999 Time series
# 34     Jamaica: 0.99808096059503  1999 Time series
# 35     Azerbaijan: 0.997883987189339  1999 Time series
# 36     Niue: 0.997795414462081  1999 Time series
# 37     Philippines: 0.997380911560547  1999 Time series
# 38     Singapore: 0.99607603378295  1999 Time series
# 39     Cyprus: 0.995663088955019  1999 Time series
# 40     Finland: 0.995222806829784  1999 Time series
# 41     Germany: 0.992805467672782  1999 Time series
# 42     Ireland: 0.992595768736425  1999 Time series
# 43     Peru: 0.991444439163632  1999 Time series
# 44     Switzerland: 0.991248825822212  1999 Time series
# 45     Fiji: 0.991244527867522  1999 Time series
# 46     Israel: 0.990413038972876  1999 Time series
# 47     Czech Republic: 0.990393185443805  1999 Time series
# 48     Bangladesh: 0.990391906856772  1999 Time series
# 49     Austria: 0.990123061803904  1999 Time series
# 50     Seychelles: 0.989899156603436  1999 Time series
# 51     Kyrgyzstan: 0.989291686530054  1999 Time series
# 52     Italy: 0.989144067174384  1999 Time series
# 53     Belgium: 0.98870589836314  1999 Time series
# 54     Burma: 0.98788747903609  1999 Time series
# 55     France: 0.987750096186953  1999 Time series
# 56     Trinidad and Tobago: 0.987522085906849  1999 Time series
# 57     Ukraine: 0.986780544001536  1999 Time series
# 58     Uruguay: 0.986767594293132  1999 Time series
# 59     Russia: 0.986575265430505  1999 Time series
# 60     Slovenia: 0.985786925304117  1999 Time series
# 61     Slovakia: 0.985429162092314  1999 Time series
# 62     Serbia and Montenegro: 0.985273289899621  1999 Time series
# 63     Albania: 0.984974734424326  1999 Time series
# 64     Marshall Islands: 0.984693210325277  1999 Time series
# 65     Croatia: 0.98431881774506  1999 Time series
# 66     Samoa: 0.983925908465442  1999 Time series
# 67     Barbados: 0.983680174362481  1999 Time series
# 68     Bolivia: 0.983668371698986  1999 Time series
# 69     Belarus: 0.983322569168722  1999 Time series
# 70     Libya: 0.983299348058624  1999 Time series
# 71     Hungary: 0.982410451021582  1999 Time series
# 72     Guyana: 0.982409800828623  1999 Time series
# 73     Macedonia, Republic of: 0.982291469152844  1999 Time series
# 74     Romania: 0.982281869046419  1999 Time series
# 75     Costa Rica: 0.981819929928927  1999 Time series
# 76     Venezuela: 0.981750817563063  1999 Time series
# 77     Spain: 0.981338766989086  1999 Time series
# 78     Poland: 0.980875788182795  1999 Time series
# 79     Malaysia: 0.980733798380045  1999 Time series
# 80     Vanuatu: 0.980600922098775  1999 Time series
# 81     Lithuania: 0.98011435274906  1999 Time series
# 82     Dominican Republic: 0.979920703094902  1999 Time series
# 83     Rwanda: 0.979562467019225  1999 Time series
# 84     Bahamas, The: 0.979476389390823  1999 Time series
# 85     Iceland: 0.978492817708458  1999 Time series
# 86     Saint Lucia: 0.978379735545263  1999 Time series
# 87     Netherlands: 0.977671654264574  1999 Time series
# 88     Latvia: 0.977177998510669  1999 Time series
# 89     South Africa: 0.975973759243495  1999 Time series
# 90     Aruba: 0.975765309402826  1999 Time series
# 91     Tonga: 0.975469369351352  1999 Time series
# 92     São Tomé and Príncipe: 0.97524900230505  1999 Time series
# 93     Mexico: 0.973803206066303  1999 Time series
# 94     Bulgaria: 0.973271680895372  1999 Time series
# 95     Brunei: 0.972250423589834  1999 Time series
# 96     Chile: 0.972084715335968  1999 Time series
# 97     Kenya: 0.972034942587567  1999 Time series
# 98     United Arab Emirates: 0.970289371915937  1999 Time series
# 99     Belize: 0.970050933272557  1999 Time series
# 100     Zimbabwe: 0.968996859035234  1999 Time series
# 101     British Virgin Islands: 0.967288990587136  1999 Time series
# 102     Panama: 0.967083751724326  1999 Time series
# 103     Madagascar: 0.966976061056502  1999 Time series
# 104     Hong Kong: 0.966577635438153  1999 Time series
# 105     Oman: 0.966179483642215  1999 Time series
# 106     Estonia: 0.965594407847152  1999 Time series
# 107     Qatar: 0.963217947418438  1999 Time series
# 108     Paraguay: 0.963170294935691  1999 Time series
# 109     El Salvador: 0.960170525676971  1999 Time series
# 110     Portugal: 0.958892584070944  1999 Time series
# 111     Cuba: 0.957558734128155  1999 Time series
# 112     Macau: 0.955720191486022  1999 Time series
# 113     Cape Verde: 0.955340158074562  1999 Time series
# 114     Lebanon: 0.953878645841615  1999 Time series
# 115     Malawi: 0.953827520349664  1999 Time series
# 116     Congo, Republic of the: 0.953301618072893  1999 Time series
# 117     Swaziland: 0.952935786723745  1999 Time series
# 118     Dominica: 0.951790056457249  1999 Time series
# 119     Thailand: 0.950867974311083  1999 Time series
# 120     Cook Islands: 0.949039889274844  1999 Time series
# 121     Iran: 0.948439646631944  1999 Time series
# 122     Tajikistan: 0.946729550909077  1999 Time series
# 123     Tunisia: 0.946379356988836  1999 Time series
# 124     Brazil: 0.943811386698254  1999 Time series
# 125     Mauritania: 0.942262403902325  1999 Time series
# 126     Netherlands Antilles: 0.937495733137028  1999 Time series
# 127     Solomon Islands: 0.932192071328478  1999 Time series
# 128     Papua New Guinea: 0.927561704531176  1999 Time series
# 129     Palau: 0.927052207936308  1999 Time series
# 130     Vietnam: 0.926143584450016  1999 Time series
# 131     Zambia: 0.922081323296562  1999 Time series
# 132     Ghana: 0.921319428716643  1999 Time series
# 133     Syria: 0.916331451058427  1999 Time series
# 134     Uganda: 0.915211378849234  1999 Time series
# 135     Egypt: 0.91467837879765  1999 Time series
# 136     Algeria: 0.912775512298  1999 Time series
# 137     Congo, Democratic Republic of the: 0.902778647922462  1999 Time series
# 138     Guatemala: 0.869586811835859  1999 Time series
# 139     Cambodia: 0.865611249287589  1999 Time series
# 140     Senegal: 0.863895086083035  1999 Time series
# 141     Angola: 0.858937133127466  1999 Time series
# 142     Gambia, The: 0.853884009933175  1999 Time series
# 143     Sudan: 0.852939135926695  1999 Time series
# 144     Laos: 0.849551316135646  1999 Time series
# 145     Comoros: 0.849419196099228  1999 Time series
# 146     Eritrea: 0.824148503557977  1999 Time series
# 147     Cameroon: 0.822207328691766  1999 Time series
# 148     India: 0.820622372126745  1999 Time series
# 149     Iraq: 0.81562438918909  1999 Time series
# 150     Nigeria: 0.815038012270785  1999 Time series
# 151     Morocco: 0.81382335757302  1999 Time series
# 152     Burundi: 0.80113902134141  1999 Time series
# 153     Equatorial Guinea: 0.785104123575668  1999 Time series
# 154     Nepal: 0.769110728640271  1999 Time series
# 155     Togo: 0.754341234823132  1999 Time series
# 156     Mozambique: 0.743210704491909  1999 Time series
# 157     Liberia: 0.741291431375426  1999 Time series
# 158     Côte d'Ivoire: 0.741026919355653  1999 Time series
# 159     Mali: 0.720786256354392  1999 Time series
# 160     Djibouti: 0.710167786727359  1999 Time series
# 161     Burkina Faso: 0.696619643636775  1999 Time series
# 162     Niger: 0.682916818068384  1999 Time series
# 163     Guinea-Bissau: 0.669192514679341  1999 Time series
# 164     Benin: 0.667418316982021  1999 Time series
# 165     Guinea: 0.653580982095702  1999 Time series
# 166     Ethiopia: 0.616174562600553  1999 Time series
# 167     Chad: 0.578841135014368  1999 Time series
# 168     Yemen: 0.56247157012832  1999 Time series
# 169     Afghanistan: 0.0767556521290098  1999 Time series
Weighted average: 0.9  

SOURCE: Source: Millennium Development Goals Database | United Nations Statistics Division

See also

See this stat for year: 2006 2005 2004 2003 2002 2001 2000 1999 1991

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CITATION

"Gender Parity Index in primary level enrolment (1999) by country", Millennium Development Goals Database | United Nations Statistics Division. Retrieved from http://www.NationMaster.com/graph/dem_gen_par_ind_in_pri_lev_enr-parity-index-primary-level-enrolment&date=1999

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COMMENTARY     

My name
9th March 2011 		My comment.
Dr. Soren Bergstrom
28th May 2010 		Chandrashekar

Gender Parity Index refers to the availability an access to education for individuals of both sexes. A figure above 1.0 will indicate that females have a greater opportunity for receiving education based on a nationally approved curricula. Values below 1.0 will have a bias favouring males.

In this case the measure is conducted at the entry level of education referred to as primary education of elementary education.

Values closes to the value of 1.00000000 are the closest to parity.
Chandrashekhar.H.B.
23rd March 2010 		I would like to know the concept and method of computation of Gender Parity Index.
Regards
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