Geolocet | Latest Demographic Data | Belarus at Municipality Level - age, gender, rural/urban population
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Volume
~ 144
Records
Depth
165
Attributes
Size
110 KB
Size
Format
.csv
File
Price
$0.86
per record
Freshness
January 2024
last updated
Data Dictionary
Attribute | Type | Example | Mapping |
---|---|---|---|
District
|
String | Baranovichy district | |
Polygon ID
|
Integer | 7258725 | |
Polygon Name
|
String | Baranavichy | |
Total
|
Integer | 27664 | |
Females
|
Integer | 14508 | |
Males
|
Integer | 13156 | |
Rural area
|
Integer | 25916 | |
Urban area
|
Integer | 1748 | |
Rural area Females
|
Integer | 13560 | |
Rural area Males
|
Integer | 12356 | |
Urban area Females
|
Integer | 948 | |
Urban area Males
|
Integer | 800 | |
Total 0 - 4
|
Integer | 1340 | |
Total 05 - 9
|
Integer | 1418 | |
Total 10-14
|
Integer | 1682 | |
Total 15 - 19
|
Integer | 1244 | |
Total 20 - 24
|
Integer | 1137 | |
Total 25 - 29
|
Integer | 883 | |
Total 30 - 34
|
Integer | 1260 | |
Total 35 - 39
|
Integer | 1770 | |
Total 40 - 44
|
Integer | 1757 | |
Total 45 - 49
|
Integer | 1929 | |
Total 50 - 54
|
Integer | 2111 | |
Total 55 - 59
|
Integer | 2331 | |
Total 60 - 64
|
Integer | 2626 | |
Total 65 - 69
|
Integer | 2142 | |
Total 70 - 74
|
Integer | 1542 | |
Total 75 - 79
|
Integer | 987 | |
Total 80 and over
|
Integer | 1505 | |
Females 0 - 4
|
Integer | 642 | |
Females 05 - 9
|
Integer | 670 | |
Females 10-14
|
Integer | 811 | |
Females 15 - 19
|
Integer | 541 | |
Females 20 - 24
|
Integer | 519 | |
Females 25 - 29
|
Integer | 412 | |
Females 30 - 34
|
Integer | 568 | |
Females 35 - 39
|
Integer | 887 | |
Females 40 - 44
|
Integer | 845 | |
Females 45 - 49
|
Integer | 960 | |
Females 50 - 54
|
Integer | 1049 | |
Females 55 - 59
|
Integer | 1170 | |
Females 60 - 64
|
Integer | 1390 | |
Females 65 - 69
|
Integer | 1207 | |
Females 70 - 74
|
Integer | 965 | |
Females 75 - 79
|
Integer | 685 | |
Females 80 and over
|
Integer | 1187 | |
Males 0 - 4
|
Integer | 698 | |
Males 05 - 9
|
Integer | 748 | |
Males 10-14
|
Integer | 871 | |
Males 15 - 19
|
Integer | 703 | |
Males 20 - 24
|
Integer | 618 | |
Males 25 - 29
|
Integer | 471 | |
Males 30 - 34
|
Integer | 692 | |
Males 35 - 39
|
Integer | 883 | |
Males 40 - 44
|
Integer | 912 | |
Males 45 - 49
|
Integer | 969 | |
Males 50 - 54
|
Integer | 1062 | |
Males 55 - 59
|
Integer | 1161 | |
Males 60 - 64
|
Integer | 1236 | |
Males 65 - 69
|
Integer | 935 | |
Males 70 - 74
|
Integer | 577 | |
Males 75 - 79
|
Integer | 302 | |
Males 80 and over
|
Integer | 318 | |
Rural area 0 - 4
|
Integer | 1240 | |
Rural area 05 - 9
|
Integer | 1331 | |
Rural area 10-14
|
Integer | 1557 | |
Rural area 15 - 19
|
Integer | 1185 | |
Rural area 20 - 24
|
Integer | 1047 | |
Rural area 25 - 29
|
Integer | 758 | |
Rural area 30 - 34
|
Integer | 1156 | |
Rural area 35 - 39
|
Integer | 1663 | |
Rural area 40 - 44
|
Integer | 1634 | |
Rural area 45 - 49
|
Integer | 1801 | |
Rural area 50 - 54
|
Integer | 2010 | |
Rural area 55 - 59
|
Integer | 2218 | |
Rural area 60 - 64
|
Integer | 2477 | |
Rural area 65 - 69
|
Integer | 2010 | |
Rural area 70 - 74
|
Integer | 1445 | |
Rural area 75 - 79
|
Integer | 942 | |
Rural area 80 and over
|
Integer | 1442 | |
Urban area 0 - 4
|
Integer | 100 | |
Urban area 05 - 9
|
Integer | 87 | |
Urban area 10-14
|
Integer | 125 | |
Urban area 15 - 19
|
Integer | 59 | |
Urban area 20 - 24
|
Integer | 90 | |
Urban area 25 - 29
|
Integer | 125 | |
Urban area 30 - 34
|
Integer | 104 | |
Urban area 35 - 39
|
Integer | 107 | |
Urban area 40 - 44
|
Integer | 123 | |
Urban area 45 - 49
|
Integer | 128 | |
Urban area 50 - 54
|
Integer | 101 | |
Urban area 55 - 59
|
Integer | 113 | |
Urban area 60 - 64
|
Integer | 149 | |
Urban area 65 - 69
|
Integer | 132 | |
Urban area 70 - 74
|
Integer | 97 | |
Urban area 75 - 79
|
Integer | 45 | |
Urban area 80 and over
|
Integer | 63 | |
Rural area Females 0 - 4
|
Integer | 587 | |
Rural area Females 05 - 9
|
Integer | 628 | |
Rural area Females 10-14
|
Integer | 755 | |
Rural area Females 15 - 19
|
Integer | 511 | |
Rural area Females 20 - 24
|
Integer | 470 | |
Rural area Females 25 - 29
|
Integer | 350 | |
Rural area Females 30 - 34
|
Integer | 525 | |
Rural area Females 35 - 39
|
Integer | 830 | |
Rural area Females 40 - 44
|
Integer | 782 | |
Rural area Females 45 - 49
|
Integer | 899 | |
Rural area Females 50 - 54
|
Integer | 996 | |
Rural area Females 55 - 59
|
Integer | 1114 | |
Rural area Females 60 - 64
|
Integer | 1297 | |
Rural area Females 65 - 69
|
Integer | 1131 | |
Rural area Females 70 - 74
|
Integer | 901 | |
Rural area Females 75 - 79
|
Integer | 652 | |
Rural area Females 80 and over
|
Integer | 1132 | |
Rural area Males 0 - 4
|
Integer | 653 | |
Rural area Males 05 - 9
|
Integer | 703 | |
Rural area Males 10-14
|
Integer | 802 | |
Rural area Males 15 - 19
|
Integer | 674 | |
Rural area Males 20 - 24
|
Integer | 577 | |
Rural area Males 25 - 29
|
Integer | 408 | |
Rural area Males 30 - 34
|
Integer | 631 | |
Rural area Males 35 - 39
|
Integer | 833 | |
Rural area Males 40 - 44
|
Integer | 852 | |
Rural area Males 45 - 49
|
Integer | 902 | |
Rural area Males 50 - 54
|
Integer | 1014 | |
Rural area Males 55 - 59
|
Integer | 1104 | |
Rural area Males 60 - 64
|
Integer | 1180 | |
Rural area Males 65 - 69
|
Integer | 879 | |
Rural area Males 70 - 74
|
Integer | 544 | |
Rural area Males 75 - 79
|
Integer | 290 | |
Rural area Males 80 and over
|
Integer | 310 | |
Urban area Females 0 - 4
|
Integer | 55 | |
Urban area Females 05 - 9
|
Integer | 42 | |
Urban area Females 10-14
|
Integer | 56 | |
Urban area Females 15 - 19
|
Integer | 30 | |
Urban area Females 20 - 24
|
Integer | 49 | |
Urban area Females 25 - 29
|
Integer | 62 | |
Urban area Females 30 - 34
|
Integer | 43 | |
Urban area Females 35 - 39
|
Integer | 57 | |
Urban area Females 40 - 44
|
Integer | 63 | |
Urban area Females 45 - 49
|
Integer | 61 | |
Urban area Females 50 - 54
|
Integer | 53 | |
Urban area Females 55 - 59
|
Integer | 56 | |
Urban area Females 60 - 64
|
Integer | 93 | |
Urban area Females 65 - 69
|
Integer | 76 | |
Urban area Females 70 - 74
|
Integer | 64 | |
Urban area Females 75 - 79
|
Integer | 33 | |
Urban area Females 80 and over
|
Integer | 55 | |
Urban area Males 0 - 4
|
Integer | 45 | |
Urban area Males 05 - 9
|
Integer | 45 | |
Urban area Males 10-14
|
Integer | 69 | |
Urban area Males 15 - 19
|
Integer | 29 | |
Urban area Males 20 - 24
|
Integer | 41 | |
Urban area Males 25 - 29
|
Integer | 63 | |
Urban area Males 30 - 34
|
Integer | 61 | |
Urban area Males 35 - 39
|
Integer | 50 | |
Urban area Males 40 - 44
|
Integer | 60 | |
Urban area Males 45 - 49
|
Integer | 67 | |
Urban area Males 50 - 54
|
Integer | 48 | |
Urban area Males 55 - 59
|
Integer | 57 | |
Urban area Males 60 - 64
|
Integer | 56 | |
Urban area Males 65 - 69
|
Integer | 56 | |
Urban area Males 70 - 74
|
Integer | 33 | |
Urban area Males 75 - 79
|
Integer | 12 | |
Urban area Males 80 and over
|
Integer | 8 |
Details
The dataset contains demographic information for the municipalities (districts) of Belarus, offering a comprehensive snapshot of their 2023 population - age, gender, rural/urban population counts. Data from BELSTAT used. If you require the municipalities' polygons, please contact us.
Geographical Coverage
Europe
(1)
Belarus
Category Tags
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