text: 10.0 231 VENEZUELA 83 23.3 5.0 93.5 21.0 199.7 2062.5 20.0 29.9 84 2019.3 46.5 199.7 4124.4 20.0 29.9 VIETNAIl 83 5.0 .9 10.0 1.0 1.0 1.0 84 .1 22.5 .8 .8 .8 YEMEN 83 24.6 990.9 183.765~ 84 18.2 3.0 22.2 1282.8 111.8 YUGOSLAVIA 83 42.9 76.5 194.3 133.2 10.1 84 10.2 133.3 247.3 975.8 6.7 30.0 5.0 ZAIRE 83 50.8 12.9 40.0 84 1.0 ZAMBIA 83 10.0 12.6 201.7 84.0 84 30.2 6.3 1.8 28.7 368.3 35.2 178.6 5.0 6.0 6.5 ZIMBl\BNI!: 83 104.2 2.6 32.6 13.0 26.0 93.8 2.6 20.8 26.05.184 66.0 2.3 27.5 11.5 22.9 324.8 25.7 16.7 38.3 145660.9!./3008473700.6 16356.3 177907.3~20860.3 163643.2 793566.7 128160.2 42999.6 267614.7 581.6131"27.5!.I34205109397.6 9041.3 180929.5~17655.8 177953.4 740743.7 121049.5 44541.2259913.4 725.1 -34-TOTALPER IITARUNRWA 11.0 FAO UNESCO WHO UPU WHO WIPO IAEA UNCHS UNEP IHO Yl::AII 1.5 23.3 150.5 54.1 .5 505.0 54.9 342.0 8.3 5.0 261.0 58.3 2.1 .8 1.0 5.0 6316.6 4.1~.O 21.0 71.6 5.0 2276.7 2.7 11.8 31.4 349.3 4.2 .6 24.0 8.4 1207.3 3.0 2.5 1.8 .5 21.0 15.2 1112.2 20.0 189.0 50.6 38.8 6.0 2395.1 19.1 025.0 6.0 21.9 6.4 33.8 6.0 2674.7 22.8 -16.0 1.9 1.7 36.2 196.7 110.7 3.4 1959.2 273.2 43.7 931.7 321.8 41.0 935.9 40.0 526.5 3581.4 11415.9 40.0 174.7 378.9 3361.5 11946.7 -132.0 -29.0 -132.1 7.1 58.7 10.0 1386.6 -70.0 27.0 36.0 1937.4 7757.5 7.7 1.0 20.0 2324.7 31.3 1172.8 203.9 80466.4 8722.0!/ -10.0 79.7 381.3 26.1 1381.5 915.0 91370.2 2529.0 10.9 2702.3 11.2 3904.0 1.2 3.6 3927.1 4.Q 90250.0!/ 2.4 365.0 1770.4 492.0 4532.7 7825.0 463447.5 22.0 67000.0 46.9 139.0 384.6 2793.6 342.8 100.0 13880.6 9805.5 500554.6 22.0 861.2 2.0 6.4 519.8 6.9 34.0 10.0 231.3 -5.0 414.4 210.0 100.0 3415.6 29.9 90.4 80.0 69.9 100.0 6780.1 29.9 18.9 25.0 -10.0 .4 1189.6 654.8 3332.0 .4 .5 5425.7 8.2 4.6 81.7 12.2 1563.7
analysis: The text appears to be a dataset containing various indicators and statistics related to different countries, likely from a United Nations organization. The presence of indicators such as GDP, population, and economic data suggests that it may be related to economic development. However, the inclusion of environmental and health-related indicators, as well as data on education and employment, suggests that the dataset may be broader than just economic development.