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serbia
 
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Access to clean fuels and technologies for cooking (% of population)57.5058.6059.6060.6061.6062.6063.4064.4065.3066.4067.5068.6069.7070.8071.8073.2074.3075.7076.9078.5079.5081.1082.0083.10..
Access to clean fuels and technologies for cooking, rural (% of rural population)30.6031.9033.2034.3035.6037.0038.4039.5041.2042.6044.1045.7047.1049.3050.8053.2055.3057.1059.7061.8064.3066.6068.6070.90..
Young people (ages 15-24) newly infected with HIV100.00100.00100.00100.00100.00100.00100.00100.00100.00100.00100.00100.00100.00100.00100.00100.00100.00100.00100.00100.00100.00100.00100.00100.00100.00
Women's share of population ages 15+ living with HIV (%)27.6626.6625.5624.5123.5822.6621.7520.8720.0019.1818.3917.6616.9816.3615.7615.2114.6814.1913.7413.2912.8612.4412.0511.6811.33
Women who were first married by age 18 (% of women ages 20-24)......................................5.50..........
Women who were first married by age 15 (% of women ages 20-24)......................................1.20..........
Women who believe a husband is justified in beating his wife when she refuses sex with him (%)..................................................
Women who believe a husband is justified in beating his wife when she neglects the children (%)..................................................
Women who believe a husband is justified in beating his wife when she goes out without telling him (%)..................................................
Women who believe a husband is justified in beating his wife when she burns the food (%)..................................................
Women who believe a husband is justified in beating his wife when she argues with him (%)..................................................
Women who believe a husband is justified in beating his wife (any of five reasons) (%)..................................................
Women participating in the three decisions (own health care, major household purchases, and visiting family) (% of women age 15-49)..................................................
Women making their own informed decisions regarding sexual relations, contraceptive use and reproductive health care (% of women age 15-49)......................................84.20..........
Wholesale price index (2010 = 100)..................................................
Water productivity, total (constant 2015 US$ GDP per cubic meter of total freshwater withdrawal)............9.6010.138.998.819.398.749.398.8210.368.819.048.108.208.499.2710.5610.29....
Wanted fertility rate (births per woman)..................................................
Wage and salaried workers, total (% of total employment) (modeled ILO estimate)61.1161.3561.6261.9662.3662.8163.2463.7364.2165.8865.5767.9068.0368.1868.2969.8468.5869.4371.7472.3073.0172.6172.8872.8972.78
Wage and salaried workers, male (% of male employment) (modeled ILO estimate)59.8559.9560.0860.2560.8161.2461.4661.7862.2463.1862.2164.4664.5864.7364.6865.5764.6566.0368.1868.8269.7669.5670.4370.4470.13
Wage and salaried workers, female (% of female employment) (modeled ILO estimate)62.7563.1663.6364.1564.5065.0265.6866.2966.7569.3269.8672.3172.4972.6672.8675.2673.4273.5876.1176.5076.9076.2475.7375.6875.74
Vulnerable employment, total (% of total employment) (modeled ILO estimate)34.9134.6834.4234.0833.6633.2132.7532.2531.7630.8931.1328.5628.4228.2628.1426.3828.0727.2624.6724.3423.9024.3024.0724.0524.11
Vulnerable employment, male (% of male employment) (modeled ILO estimate)35.0935.0234.9334.7834.2533.8433.5833.2332.7732.7133.6731.1130.9830.8230.8429.5430.8729.6627.2926.9126.3226.5025.8025.7726.02
Vulnerable employment, female (% of female employment) (modeled ILO estimate)34.6834.2433.7533.2032.8532.3331.6330.9730.4728.5727.9025.3025.1124.9324.7122.3824.6024.3321.4521.2321.0121.6922.0622.0921.96
Vitamin A supplementation coverage rate (% of children ages 6-59 months)..................................................
Value lost due to electrical outages (% of sales for affected firms)..................0.00......0.00..........0.00........0.00
Use of insecticide-treated bed nets (% of under-5 population)..................................................
Use of IMF credit (DOD, current US$)226,171,882.50343,828,505.50643,854,800.801,000,934,230.701,052,362,745.00947,484,231.9085,246,520.6089,546,125.8087,280,627.202,298,516,898.402,719,814,255.802,783,104,830.002,516,538,409.101,646,808,504.20829,510,419.80632,878,398.00598,276,029.00633,791,002.60618,952,316.70615,407,166.10640,971,317.101,501,249,137.502,473,229,412.102,712,979,311.502,637,080,199.10
Urban population living in areas where elevation is below 5 meters (% of total population)0.00............................0.00..................
Urban population growth (annual %)0.570.640.690.470.530.460.330.260.150.06-0.09-0.61-0.63-0.04-0.04-0.08-0.11-0.14-0.18-0.20-0.38-0.71-1.64-0.23-0.17
Urban population4,178,510.004,205,542.004,234,735.004,254,842.004,277,468.004,297,110.004,311,378.004,322,484.004,328,874.004,331,308.004,327,508.004,301,019.004,273,861.004,272,062.004,270,367.004,267,079.004,262,195.004,256,129.004,248,451.004,240,012.004,223,866.004,193,809.004,125,386.004,115,875.004,108,842.00
Urban population (% of total population)55.5956.0556.4656.8857.3157.7558.1758.5658.8959.1659.3559.4359.3559.6159.8860.1460.3960.6260.8461.0561.2261.3661.9062.1462.38
Urban land area where elevation is below 5 meters (sq. km)0.00............................0.00..................
Urban land area where elevation is below 5 meters (% of total land area)0.00............................0.00..................
Urban land area (sq. km)2,511.14............................2,323.39..................
Unmet need for contraception (% of married women ages 15-49)....................6.60......14.94........8.81..........
Unemployment, youth total (% of total labor force ages 15-24) (national estimate)..........47.7447.8943.7335.1141.5146.2750.9351.0549.4247.5343.1634.9431.9129.7227.5326.6524.5323.2924.1521.45
Unemployment, youth total (% of total labor force ages 15-24) (modeled ILO estimate)28.0328.6631.3335.0641.7347.1348.0043.6135.0841.3946.4451.1851.2449.4647.6343.2334.9631.9129.7027.5026.6124.5023.2724.1321.45
Unemployment, youth male (% of male labor force ages 15-24) (national estimate)..........44.8843.2440.7430.7139.2545.5047.6347.8744.6046.1240.1232.1829.1828.3126.1025.0422.9022.0722.8321.14
Unemployment, youth male (% of male labor force ages 15-24) (modeled ILO estimate)27.5828.3531.7737.1939.3543.9343.2440.5630.6039.1545.7347.7347.9244.4746.2140.1132.1329.1128.2626.0424.9622.8322.0222.7921.14
Unemployment, youth female (% of female labor force ages 15-24) (national estimate)..........51.7155.4648.2941.5244.8247.5557.2257.0057.4749.9948.2039.5336.3332.0429.9429.4927.2425.2626.2721.95
Unemployment, youth female (% of female labor force ages 15-24) (modeled ILO estimate)28.6529.0830.7132.0745.1051.7354.8947.7341.2044.4047.5357.0856.8056.9349.9948.1239.4136.1931.9429.8229.3327.1325.1826.1921.93
Unemployment, total (% of total labor force) (national estimate)12.6012.8013.8015.2018.5020.8520.8518.0613.6716.1219.2022.9624.0022.1519.2217.6615.2613.4812.7310.409.019.848.448.277.24
Unemployment, total (% of total labor force) (modeled ILO estimate)12.6012.8013.8015.2018.5020.8520.8518.0613.6716.1219.2022.9624.0022.1519.2217.6615.2613.4812.7310.409.019.848.448.277.24
Unemployment, male (% of male labor force) (national estimate)..11.1012.4014.4015.0716.7917.9415.7911.8714.7618.4222.4123.2720.8718.3316.8114.5912.8411.969.858.699.158.077.947.07
Unemployment, male (% of male labor force) (modeled ILO estimate)10.8311.0712.3014.3215.0416.6917.8615.7211.8414.7418.4022.3923.2520.8318.3116.7914.5812.8311.959.838.689.148.067.947.07
Unemployment, female (% of female labor force) (national estimate)..15.0015.8016.4022.8726.2124.7121.0315.9617.8320.2323.7024.9823.8420.3718.7616.1014.2713.7011.089.4110.688.888.657.44
Unemployment, female (% of female labor force) (modeled ILO estimate)14.8214.9615.6716.3022.8226.0624.6020.9415.9217.8120.2123.6824.9523.8020.3518.7416.0814.2613.6811.069.4010.678.878.647.44
Unemployment with intermediate education, male (% of male labor force with intermediate education)..............11.8613.0915.8819.0422.5324.7021.0920.0517.9415.4013.9112.7610.278.979.598.648.317.24
Unemployment with intermediate education, female (% of female labor force with intermediate education)..............15.8519.4919.3222.0025.4526.4626.0822.9421.6718.6615.9815.1512.7010.4911.9110.489.708.16
Unemployment with intermediate education (% of total labor force with intermediate education)..............13.7516.1017.5020.3923.8825.5023.3721.1919.4216.6914.7413.7111.239.5810.529.408.887.61
Source: World Development Indicators. Click on a metadata icon for original source information to be used for citation.
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