Geolocet | Latest Socio-demographic Data | Macedonia at Municipality Level - age, gender, rural/urban, marital status, education, and more
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Volume
~ 69
Records
Depth
766
Attributes
Size
210 KB
Size
Format
.csv
File
Price
$2.50
per record
Freshness
January 2024
last updated
Data Dictionary
Attribute | Type | Example | Mapping |
---|---|---|---|
Opshitna
|
String | Aerodrom | |
Polyogn ID
|
Integer | 4864651 | |
Name_Macedonian
|
String | Општина Аеродром | |
Population
|
Integer | 77735 | |
Males
|
Integer | 37153 | |
Females
|
Integer | 40582 | |
Pop 0-4
|
Integer | 4246 | |
Pop 5-9
|
Integer | 4396 | |
Pop 10-14
|
Integer | 3884 | |
Pop 15-19
|
Integer | 3436 | |
Pop 20-24
|
Integer | 3403 | |
Pop 25-29
|
Integer | 4056 | |
Pop 30-34
|
Integer | 5384 | |
Pop 35-39
|
Integer | 6711 | |
Pop 40-44
|
Integer | 6841 | |
Pop 45-49
|
Integer | 5934 | |
Pop 50-54
|
Integer | 4781 | |
Pop 55-59
|
Integer | 4333 | |
Pop 60-64
|
Integer | 4574 | |
Pop 65-69
|
Integer | 5539 | |
Pop 70-74
|
Integer | 5198 | |
Pop 75-79
|
Integer | 2684 | |
Pop 80-84
|
Integer | 1465 | |
Pop 85-89
|
Integer | 671 | |
Pop 90-94
|
Integer | 166 | |
Pop 95-99
|
Integer | 31 | |
Pop 100+
|
Integer | 2 | |
Males 0-4
|
Integer | 2159 | |
Males 5-9
|
Integer | 2289 | |
Males 10-14
|
Integer | 1976 | |
Males 15-19
|
Integer | 1718 | |
Males 20-24
|
Integer | 1713 | |
Males 25-29
|
Integer | 2011 | |
Males 30-34
|
Integer | 2553 | |
Males 35-39
|
Integer | 3250 | |
Males 40-44
|
Integer | 3405 | |
Males 45-49
|
Integer | 2871 | |
Males 50-54
|
Integer | 2354 | |
Males 55-59
|
Integer | 1991 | |
Males 60-64
|
Integer | 1972 | |
Males 65-69
|
Integer | 2352 | |
Males 70-74
|
Integer | 2303 | |
Males 75-79
|
Integer | 1210 | |
Males 80-84
|
Integer | 651 | |
Males 85-89
|
Integer | 306 | |
Males 90-94
|
Integer | 54 | |
Males 95-99
|
Integer | 14 | |
Males 100+
|
Integer | 1 | |
Females 0-4
|
Integer | 2087 | |
Females 5-9
|
Integer | 2107 | |
Females 10-14
|
Integer | 1908 | |
Females 15-19
|
Integer | 1718 | |
Females 20-24
|
Integer | 1690 | |
Females 25-29
|
Integer | 2045 | |
Females 30-34
|
Integer | 2831 | |
Females 35-39
|
Integer | 3461 | |
Females 40-44
|
Integer | 3436 | |
Females 45-49
|
Integer | 3063 | |
Females 50-54
|
Integer | 2427 | |
Females 55-59
|
Integer | 2342 | |
Females 60-64
|
Integer | 2602 | |
Females 65-69
|
Integer | 3187 | |
Females 70-74
|
Integer | 2895 | |
Females 75-79
|
Integer | 1474 | |
Females 80-84
|
Integer | 814 | |
Females 85-89
|
Integer | 365 | |
Females 90-94
|
Integer | 112 | |
Females 95-99
|
Integer | 17 | |
Females 100+
|
Integer | 1 | |
Urban population
|
Integer | 75108 | |
Urban population males
|
Integer | 35822 | |
Urban population females
|
Integer | 39286 | |
Urban pop 0-4
|
Integer | 4112 | |
Urban pop 5-9
|
Integer | 4255 | |
Urban pop 10-14
|
Integer | 3746 | |
Urban pop 15-19
|
Integer | 3288 | |
Urban pop 20-24
|
Integer | 3269 | |
Urban pop 25-29
|
Integer | 3920 | |
Urban pop 30-34
|
Integer | 5205 | |
Urban pop 35-39
|
Integer | 6501 | |
Urban pop 40-44
|
Integer | 6638 | |
Urban pop 45-49
|
Integer | 5741 | |
Urban pop 50-54
|
Integer | 4612 | |
Urban pop 55-59
|
Integer | 4156 | |
Urban pop 60-64
|
Integer | 4378 | |
Urban pop 65-69
|
Integer | 5342 | |
Urban pop 70-74
|
Integer | 5050 | |
Urban pop 75-79
|
Integer | 2624 | |
Urban pop 80-84
|
Integer | 1428 | |
Urban pop 85-89
|
Integer | 651 | |
Urban pop 90-94
|
Integer | 160 | |
Urban pop 95-99
|
Integer | 30 | |
Urban pop 100+
|
Integer | 2 | |
Urban pop males 0-4
|
Integer | 2096 | |
Urban pop males 5-9
|
Integer | 2205 | |
Urban pop males 10-14
|
Integer | 1908 | |
Urban pop males 15-19
|
Integer | 1654 | |
Urban pop males 20-24
|
Integer | 1641 | |
Urban pop males 25-29
|
Integer | 1932 | |
Urban pop males 30-34
|
Integer | 2474 | |
Urban pop males 35-39
|
Integer | 3141 | |
Urban pop males 40-44
|
Integer | 3300 | |
Urban pop males 45-49
|
Integer | 2770 | |
Urban pop males 50-54
|
Integer | 2262 | |
Urban pop males 55-59
|
Integer | 1906 | |
Urban pop males 60-64
|
Integer | 1869 | |
Urban pop males 65-69
|
Integer | 2266 | |
Urban pop males 70-74
|
Integer | 2225 | |
Urban pop males 75-79
|
Integer | 1182 | |
Urban pop males 80-84
|
Integer | 633 | |
Urban pop males 85-89
|
Integer | 292 | |
Urban pop males 90-94
|
Integer | 52 | |
Urban pop males 95-99
|
Integer | 13 | |
Urban pop males 100+
|
Integer | 1 | |
Urban pop females 0-4
|
Integer | 2016 | |
Urban pop females 5-9
|
Integer | 2050 | |
Urban pop females 10-14
|
Integer | 1838 | |
Urban pop females 15-19
|
Integer | 1634 | |
Urban pop females 20-24
|
Integer | 1628 | |
Urban pop females 25-29
|
Integer | 1988 | |
Urban pop females 30-34
|
Integer | 2731 | |
Urban pop females 35-39
|
Integer | 3360 | |
Urban pop females 40-44
|
Integer | 3338 | |
Urban pop females 45-49
|
Integer | 2971 | |
Urban pop females 50-54
|
Integer | 2350 | |
Urban pop females 55-59
|
Integer | 2250 | |
Urban pop females 60-64
|
Integer | 2509 | |
Urban pop females 65-69
|
Integer | 3076 | |
Urban pop females 70-74
|
Integer | 2825 | |
Urban pop females 75-79
|
Integer | 1442 | |
Urban pop females 80-84
|
Integer | 795 | |
Urban pop females 85-89
|
Integer | 359 | |
Urban pop females 90-94
|
Integer | 108 | |
Urban pop females 95-99
|
Integer | 17 | |
Urban pop females 100+
|
Integer | 1 | |
Rural population
|
Integer | 2627 | |
Rural population males
|
Integer | 1331 | |
Rural population females
|
Integer | 1296 | |
Rural pop 0-4
|
Integer | 134 | |
Rural pop 5-9
|
Integer | 141 | |
Rural pop 10-14
|
Integer | 138 | |
Rural pop 15-19
|
Integer | 148 | |
Rural pop 20-24
|
Integer | 134 | |
Rural pop 25-29
|
Integer | 136 | |
Rural pop 30-34
|
Integer | 179 | |
Rural pop 35-39
|
Integer | 210 | |
Rural pop 40-44
|
Integer | 203 | |
Rural pop 45-49
|
Integer | 193 | |
Rural pop 50-54
|
Integer | 169 | |
Rural pop 55-59
|
Integer | 177 | |
Rural pop 60-64
|
Integer | 196 | |
Rural pop 65-69
|
Integer | 197 | |
Rural pop 70-74
|
Integer | 148 | |
Rural pop 75-79
|
Integer | 60 | |
Rural pop 80-84
|
Integer | 37 | |
Rural pop 85-89
|
Integer | 20 | |
Rural pop 90-94
|
Integer | 6 | |
Rural pop 95-99
|
Integer | 1 | |
Rural pop 100+
|
Integer | 0 | |
Rural pop males 0-4
|
Integer | 63 | |
Rural pop males 5-9
|
Integer | 84 | |
Rural pop males 10-14
|
Integer | 68 | |
Rural pop males 15-19
|
Integer | 64 | |
Rural pop males 20-24
|
Integer | 72 | |
Rural pop males 25-29
|
Integer | 79 | |
Rural pop males 30-34
|
Integer | 79 | |
Rural pop males 35-39
|
Integer | 109 | |
Rural pop males 40-44
|
Integer | 105 | |
Rural pop males 45-49
|
Integer | 101 | |
Rural pop males 50-54
|
Integer | 92 | |
Rural pop males 55-59
|
Integer | 85 | |
Rural pop males 60-64
|
Integer | 103 | |
Rural pop males 65-69
|
Integer | 86 | |
Rural pop males 70-74
|
Integer | 78 | |
Rural pop males 75-79
|
Integer | 28 | |
Rural pop males 80-84
|
Integer | 18 | |
Rural pop males 85-89
|
Integer | 14 | |
Rural pop males 90-94
|
Integer | 2 | |
Rural pop males 95-99
|
Integer | 1 | |
Rural pop males 100+
|
Integer | 0 | |
Rural pop females 0-4
|
Integer | 71 | |
Rural pop females 5-9
|
Integer | 57 | |
Rural pop females 10-14
|
Integer | 70 | |
Rural pop females 15-19
|
Integer | 84 | |
Rural pop females 20-24
|
Integer | 62 | |
Rural pop females 25-29
|
Integer | 57 | |
Rural pop females 30-34
|
Integer | 100 | |
Rural pop females 35-39
|
Integer | 101 | |
Rural pop females 40-44
|
Integer | 98 | |
Rural pop females 45-49
|
Integer | 92 | |
Rural pop females 50-54
|
Integer | 77 | |
Rural pop females 55-59
|
Integer | 92 | |
Rural pop females 60-64
|
Integer | 93 | |
Rural pop females 65-69
|
Integer | 111 | |
Rural pop females 70-74
|
Integer | 70 | |
Rural pop females 75-79
|
Integer | 32 | |
Rural pop females 80-84
|
Integer | 19 | |
Rural pop females 85-89
|
Integer | 6 | |
Rural pop females 90-94
|
Integer | 4 | |
Rural pop females 95-99
|
Integer | 0 | |
Rural pop females 100+
|
Integer | 0 | |
Never married
|
Integer | 15790 | |
Married
|
Integer | 40640 | |
Widowed
|
Integer | 5106 | |
Divorced
|
Integer | 2208 | |
Marital status unknown
|
Integer | 1465 | |
Never married 15-19
|
Integer | 3425 | |
Never married 20-24
|
Integer | 3240 | |
Never married 25-29
|
Integer | 2911 | |
Never married 30-34
|
Integer | 1978 | |
Never married 35-39
|
Integer | 1486 | |
Never married 40-44
|
Integer | 975 | |
Never married 45-49
|
Integer | 667 | |
Never married 50-54
|
Integer | 377 | |
Never married 55-59
|
Integer | 255 | |
Never married 60-64
|
Integer | 152 | |
Never married 65-69
|
Integer | 128 | |
Never married 70-74
|
Integer | 106 | |
Never married 75-79
|
Integer | 57 | |
Never married 80-84
|
Integer | 20 | |
Never married 85+
|
Integer | 13 | |
Married 15-19
|
Integer | 3 | |
Married 20-24
|
Integer | 139 | |
Married 25-29
|
Integer | 1100 | |
Married 30-34
|
Integer | 3316 | |
Married 35-39
|
Integer | 5027 | |
Married 40-44
|
Integer | 5360 | |
Married 45-49
|
Integer | 4641 | |
Married 50-54
|
Integer | 3800 | |
Married 55-59
|
Integer | 3467 | |
Married 60-64
|
Integer | 3596 | |
Married 65-69
|
Integer | 4110 | |
Married 70-74
|
Integer | 3473 | |
Married 75-79
|
Integer | 1580 | |
Married 80-84
|
Integer | 739 | |
Married 85+
|
Integer | 289 | |
Widowed 15-19
|
Integer | 0 | |
Widowed 20-24
|
Integer | 0 | |
Widowed 25-29
|
Integer | 0 | |
Widowed 30-34
|
Integer | 3 | |
Widowed 35-39
|
Integer | 13 | |
Widowed 40-44
|
Integer | 29 | |
Widowed 45-49
|
Integer | 76 | |
Widowed 50-54
|
Integer | 131 | |
Widowed 55-59
|
Integer | 229 | |
Widowed 60-64
|
Integer | 477 | |
Widowed 65-69
|
Integer | 929 | |
Widowed 70-74
|
Integer | 1247 | |
Widowed 75-79
|
Integer | 889 | |
Widowed 80-84
|
Integer | 603 | |
Widowed 85+
|
Integer | 480 | |
Divorced 15-19
|
Integer | 0 | |
Divorced 20-24
|
Integer | 0 | |
Divorced 25-29
|
Integer | 5 | |
Divorced 30-34
|
Integer | 39 | |
Divorced 35-39
|
Integer | 107 | |
Divorced 40-44
|
Integer | 313 | |
Divorced 45-49
|
Integer | 387 | |
Divorced 50-54
|
Integer | 343 | |
Divorced 55-59
|
Integer | 272 | |
Divorced 60-64
|
Integer | 254 | |
Divorced 65-69
|
Integer | 215 | |
Divorced 70-74
|
Integer | 169 | |
Divorced 75-79
|
Integer | 62 | |
Divorced 80-84
|
Integer | 30 | |
Divorced 85+
|
Integer | 12 | |
Marital status unknown 15-19
|
Integer | 8 | |
Marital status unknown 20-24
|
Integer | 24 | |
Marital status unknown 25-29
|
Integer | 40 | |
Marital status unknown 30-34
|
Integer | 48 | |
Marital status unknown 35-39
|
Integer | 78 | |
Marital status unknown 40-44
|
Integer | 164 | |
Marital status unknown 45-49
|
Integer | 163 | |
Marital status unknown 50-54
|
Integer | 130 | |
Marital status unknown 55-59
|
Integer | 110 | |
Marital status unknown 60-64
|
Integer | 95 | |
Marital status unknown 65-69
|
Integer | 157 | |
Marital status unknown 70-74
|
Integer | 203 | |
Marital status unknown 75-79
|
Integer | 96 | |
Marital status unknown 80-84
|
Integer | 73 | |
Marital status unknown 85+
|
Integer | 76 | |
Males never married
|
Integer | 8426 | |
Males married
|
Integer | 19962 | |
Males widowed
|
Integer | 967 | |
Males divorced
|
Integer | 697 | |
Males marital status unknown
|
Integer | 677 | |
Females never married
|
Integer | 7364 | |
Females married
|
Integer | 20678 | |
Females widowed
|
Integer | 4139 | |
Females divorced
|
Integer | 1511 | |
Females marital status unknown
|
Integer | 788 | |
Males never married 15-19
|
Integer | 1713 | |
Males never married 20-24
|
Integer | 1667 | |
Males never married 25-29
|
Integer | 1609 | |
Males never married 30-34
|
Integer | 1170 | |
Males never married 35-39
|
Integer | 884 | |
Males never married 40-44
|
Integer | 554 | |
Males never married 45-49
|
Integer | 353 | |
Males never married 50-54
|
Integer | 188 | |
Males never married 55-59
|
Integer | 134 | |
Males never married 60-64
|
Integer | 65 | |
Males never married 65-69
|
Integer | 49 | |
Males never married 70-74
|
Integer | 30 | |
Males never married 75-79
|
Integer | 6 | |
Males never married 80-84
|
Integer | 3 | |
Males never married 85+
|
Integer | 1 | |
Males married 15-19
|
Integer | 1 | |
Males married 20-24
|
Integer | 36 | |
Males married 25-29
|
Integer | 380 | |
Males married 30-34
|
Integer | 1349 | |
Males married 35-39
|
Integer | 2302 | |
Males married 40-44
|
Integer | 2648 | |
Males married 45-49
|
Integer | 2305 | |
Males married 50-54
|
Integer | 1960 | |
Males married 55-59
|
Integer | 1665 | |
Males married 60-64
|
Integer | 1707 | |
Males married 65-69
|
Integer | 2035 | |
Males married 70-74
|
Integer | 1937 | |
Males married 75-79
|
Integer | 968 | |
Males married 80-84
|
Integer | 468 | |
Males married 85+
|
Integer | 201 | |
Males widowed 15-19
|
Integer | 0 | |
Males widowed 20-24
|
Integer | 0 | |
Males widowed 25-29
|
Integer | 0 | |
Males widowed 30-34
|
Integer | 0 | |
Males widowed 35-39
|
Integer | 3 | |
Males widowed 40-44
|
Integer | 6 | |
Males widowed 45-49
|
Integer | 8 | |
Males widowed 50-54
|
Integer | 19 | |
Males widowed 55-59
|
Integer | 30 | |
Males widowed 60-64
|
Integer | 66 | |
Males widowed 65-69
|
Integer | 148 | |
Males widowed 70-74
|
Integer | 229 | |
Males widowed 75-79
|
Integer | 182 | |
Males widowed 80-84
|
Integer | 137 | |
Males widowed 85+
|
Integer | 139 | |
Males divorced 15-19
|
Integer | 0 | |
Males divorced 20-24
|
Integer | 0 | |
Males divorced 25-29
|
Integer | 0 | |
Males divorced 30-34
|
Integer | 9 | |
Males divorced 35-39
|
Integer | 24 | |
Males divorced 40-44
|
Integer | 99 | |
Males divorced 45-49
|
Integer | 128 | |
Males divorced 50-54
|
Integer | 118 | |
Males divorced 55-59
|
Integer | 103 | |
Males divorced 60-64
|
Integer | 86 | |
Males divorced 65-69
|
Integer | 67 | |
Males divorced 70-74
|
Integer | 38 | |
Males divorced 75-79
|
Integer | 13 | |
Males divorced 80-84
|
Integer | 8 | |
Males divorced 85+
|
Integer | 4 | |
Males marital status unknown 15-19
|
Integer | 4 | |
Males marital status unknown 20-24
|
Integer | 10 | |
Males marital status unknown 25-29
|
Integer | 22 | |
Males marital status unknown 30-34
|
Integer | 25 | |
Males marital status unknown 35-39
|
Integer | 37 | |
Males marital status unknown 40-44
|
Integer | 98 | |
Males marital status unknown 45-49
|
Integer | 77 | |
Males marital status unknown 50-54
|
Integer | 69 | |
Males marital status unknown 55-59
|
Integer | 59 | |
Males marital status unknown 60-64
|
Integer | 48 | |
Males marital status unknown 65-69
|
Integer | 53 | |
Males marital status unknown 70-74
|
Integer | 69 | |
Males marital status unknown 75-79
|
Integer | 41 | |
Males marital status unknown 80-84
|
Integer | 35 | |
Males marital status unknown 85+
|
Integer | 30 | |
Females never married 15-19
|
Integer | 1712 | |
Females never married 20-24
|
Integer | 1573 | |
Females never married 25-29
|
Integer | 1302 | |
Females never married 30-34
|
Integer | 808 | |
Females never married 35-39
|
Integer | 602 | |
Females never married 40-44
|
Integer | 421 | |
Females never married 45-49
|
Integer | 314 | |
Females never married 50-54
|
Integer | 189 | |
Females never married 55-59
|
Integer | 121 | |
Females never married 60-64
|
Integer | 87 | |
Females never married 65-69
|
Integer | 79 | |
Females never married 70-74
|
Integer | 76 | |
Females never married 75-79
|
Integer | 51 | |
Females never married 80-84
|
Integer | 17 | |
Females never married 85+
|
Integer | 12 | |
Females married 15-19
|
Integer | 2 | |
Females married 20-24
|
Integer | 103 | |
Females married 25-29
|
Integer | 720 | |
Females married 30-34
|
Integer | 1967 | |
Females married 35-39
|
Integer | 2725 | |
Females married 40-44
|
Integer | 2712 | |
Females married 45-49
|
Integer | 2336 | |
Females married 50-54
|
Integer | 1840 | |
Females married 55-59
|
Integer | 1802 | |
Females married 60-64
|
Integer | 1889 | |
Females married 65-69
|
Integer | 2075 | |
Females married 70-74
|
Integer | 1536 | |
Females married 75-79
|
Integer | 612 | |
Females married 80-84
|
Integer | 271 | |
Females married 85+
|
Integer | 88 | |
Females widowed 15-19
|
Integer | 0 | |
Females widowed 20-24
|
Integer | 0 | |
Females widowed 25-29
|
Integer | 0 | |
Females widowed 30-34
|
Integer | 3 | |
Females widowed 35-39
|
Integer | 10 | |
Females widowed 40-44
|
Integer | 23 | |
Females widowed 45-49
|
Integer | 68 | |
Females widowed 50-54
|
Integer | 112 | |
Females widowed 55-59
|
Integer | 199 | |
Females widowed 60-64
|
Integer | 411 | |
Females widowed 65-69
|
Integer | 781 | |
Females widowed 70-74
|
Integer | 1018 | |
Females widowed 75-79
|
Integer | 707 | |
Females widowed 80-84
|
Integer | 466 | |
Females widowed 85+
|
Integer | 341 | |
Females divorced 15-19
|
Integer | 0 | |
Females divorced 20-24
|
Integer | 0 | |
Females divorced 25-29
|
Integer | 5 | |
Females divorced 30-34
|
Integer | 30 | |
Females divorced 35-39
|
Integer | 83 | |
Females divorced 40-44
|
Integer | 214 | |
Females divorced 45-49
|
Integer | 259 | |
Females divorced 50-54
|
Integer | 225 | |
Females divorced 55-59
|
Integer | 169 | |
Females divorced 60-64
|
Integer | 168 | |
Females divorced 65-69
|
Integer | 148 | |
Females divorced 70-74
|
Integer | 131 | |
Females divorced 75-79
|
Integer | 49 | |
Females divorced 80-84
|
Integer | 22 | |
Females divorced 85+
|
Integer | 8 | |
Females marital status unknown 15-19
|
Integer | 4 | |
Females marital status unknown 20-24
|
Integer | 14 | |
Females marital status unknown 25-29
|
Integer | 18 | |
Females marital status unknown 30-34
|
Integer | 23 | |
Females marital status unknown 35-39
|
Integer | 41 | |
Females marital status unknown 40-44
|
Integer | 66 | |
Females marital status unknown 45-49
|
Integer | 86 | |
Females marital status unknown 50-54
|
Integer | 61 | |
Females marital status unknown 55-59
|
Integer | 51 | |
Females marital status unknown 60-64
|
Integer | 47 | |
Females marital status unknown 65-69
|
Integer | 104 | |
Females marital status unknown 70-74
|
Integer | 134 | |
Females marital status unknown 75-79
|
Integer | 55 | |
Females marital status unknown 80-84
|
Integer | 38 | |
Females marital status unknown 85+
|
Integer | 46 | |
Education level - total
|
Integer | 77735 | |
Not attend education
|
Integer | 57106 | |
Primary and lower secondary education
|
Integer | 7330 | |
Secondary education
|
Integer | 2867 | |
High education
|
Integer | 4627 | |
Master's degree
|
Integer | 1112 | |
Doctorate
|
Integer | 214 | |
Education unknown
|
Integer | 4479 | |
Males not attend education
|
Integer | 26949 | |
Males primary and lower secondary education
|
Integer | 3803 | |
Males secondary education
|
Integer | 1440 | |
Males high education
|
Integer | 2148 | |
Males master's degree
|
Integer | 440 | |
Males doctorate
|
Integer | 101 | |
Males education unknown
|
Integer | 2272 | |
Females not attend education
|
Integer | 30157 | |
Females primary and lower secondary education
|
Integer | 3527 | |
Females secondary education
|
Integer | 1427 | |
Females high education
|
Integer | 2479 | |
Females master's degree
|
Integer | 672 | |
Females doctorate
|
Integer | 113 | |
Females education unknown
|
Integer | 2207 | |
Education in general programs and qualifications
|
Integer | 1286 | |
Education in education
|
Integer | 257 | |
Education in arts and humanities
|
Integer | 799 | |
Education in social sciences, journalism and information
|
Integer | 1044 | |
Education in business, administration and law
|
Integer | 1363 | |
Education in natural sciences, mathematics and statistics
|
Integer | 352 | |
Education in information and communication technologies
|
Integer | 897 | |
Education in engineering, manufacturing and construction
|
Integer | 834 | |
Education in agriculture, forestry, fisheries and veterinary
|
Integer | 114 | |
Education in health and welfare
|
Integer | 951 | |
Education in services
|
Integer | 620 | |
Education in unknown field
|
Integer | 303 | |
Males with education in general programs and qualifications
|
Integer | 652 | |
Males with education in education
|
Integer | 93 | |
Males with education in arts and humanities
|
Integer | 270 | |
Males with education in social sciences, journalism and information
|
Integer | 434 | |
Males with education in business, administration and law
|
Integer | 589 | |
Males with education in natural sciences, mathematics and statistics
|
Integer | 133 | |
Males with education in information and communication technologies
|
Integer | 613 | |
Males with education in engineering, manufacturing and construction
|
Integer | 508 | |
Males with education in agriculture, forestry, fisheries and veterinary
|
Integer | 65 | |
Males with education in health and welfare
|
Integer | 239 | |
Males with education in services
|
Integer | 394 | |
Males with education in unknown field
|
Integer | 139 | |
Females with education in general programs and qualifications
|
Integer | 634 | |
Females with education in education
|
Integer | 164 | |
Females with education in arts and humanities
|
Integer | 529 | |
Females with education in social sciences, journalism and information
|
Integer | 610 | |
Females with education in business, administration and law
|
Integer | 774 | |
Females with education in natural sciences, mathematics and statistics
|
Integer | 219 | |
Females with education in information and communication technologies
|
Integer | 284 | |
Females with education in engineering, manufacturing and construction
|
Integer | 326 | |
Females with education in agriculture, forestry, fisheries and veterinary
|
Integer | 49 | |
Females with education in health and welfare
|
Integer | 712 | |
Females with education in services
|
Integer | 226 | |
Females with education in unknown field
|
Integer | 164 | |
Literate
|
Integer | 64139 | |
Illiterate
|
Integer | 104 | |
Literacy unknown
|
Integer | 966 | |
Literate 15-19
|
Integer | 3381 | |
Literate 20-24
|
Integer | 3319 | |
Literate 25-29
|
Integer | 3883 | |
Literate 30-34
|
Integer | 5134 | |
Literate 35-39
|
Integer | 6550 | |
Literate 40-44
|
Integer | 6812 | |
Literate 45-49
|
Integer | 5892 | |
Literate 50-54
|
Integer | 4734 | |
Literate 55-59
|
Integer | 4302 | |
Literate 60-64
|
Integer | 4544 | |
Literate 65-69
|
Integer | 5486 | |
Literate 70-74
|
Integer | 5157 | |
Literate 75-79
|
Integer | 2654 | |
Literate 80-84
|
Integer | 1442 | |
Literate 85-89
|
Integer | 660 | |
Literate 90-94
|
Integer | 157 | |
Literate 95-99
|
Integer | 30 | |
Literate 100+
|
Integer | 2 | |
Illiterate 15-19
|
Integer | 5 | |
Illiterate 20-24
|
Integer | 1 | |
Illiterate 25-29
|
Integer | 3 | |
Illiterate 30-34
|
Integer | 4 | |
Illiterate 35-39
|
Integer | 6 | |
Illiterate 40-44
|
Integer | 4 | |
Illiterate 45-49
|
Integer | 8 | |
Illiterate 50-54
|
Integer | 6 | |
Illiterate 55-59
|
Integer | 9 | |
Illiterate 60-64
|
Integer | 9 | |
Illiterate 65-69
|
Integer | 9 | |
Illiterate 70-74
|
Integer | 6 | |
Illiterate 75-79
|
Integer | 10 | |
Illiterate 80-84
|
Integer | 7 | |
Illiterate 85-89
|
Integer | 9 | |
Illiterate 90-94
|
Integer | 7 | |
Illiterate 95-99
|
Integer | 1 | |
Illiterate 100+
|
Integer | 0 | |
Literacy unknown 15-19
|
Integer | 50 | |
Literacy unknown 20-24
|
Integer | 83 | |
Literacy unknown 25-29
|
Integer | 170 | |
Literacy unknown 30-34
|
Integer | 246 | |
Literacy unknown 35-39
|
Integer | 155 | |
Literacy unknown 40-44
|
Integer | 25 | |
Literacy unknown 45-49
|
Integer | 34 | |
Literacy unknown 50-54
|
Integer | 41 | |
Literacy unknown 55-59
|
Integer | 22 | |
Literacy unknown 60-64
|
Integer | 21 | |
Literacy unknown 65-69
|
Integer | 44 | |
Literacy unknown 70-74
|
Integer | 35 | |
Literacy unknown 75-79
|
Integer | 20 | |
Literacy unknown 80-84
|
Integer | 16 | |
Literacy unknown 85-89
|
Integer | 2 | |
Literacy unknown 90-94
|
Integer | 2 | |
Literacy unknown 95-99
|
Integer | 0 | |
Literacy unknown 100+
|
Integer | 0 | |
Males literate
|
Integer | 30188 | |
Males illiterate
|
Integer | 34 | |
Males literacy unknown
|
Integer | 507 | |
Females literate
|
Integer | 2174 | |
Females illiterate
|
Integer | 70 | |
Females literacy unknown
|
Integer | 459 | |
Males literate 15-19
|
Integer | 1689 | |
Males literate 20-24
|
Integer | 1672 | |
Males literate 25-29
|
Integer | 1921 | |
Males literate 30-34
|
Integer | 2418 | |
Males literate 35-39
|
Integer | 3168 | |
Males literate 40-44
|
Integer | 3389 | |
Males literate 45-49
|
Integer | 2851 | |
Males literate 50-54
|
Integer | 2323 | |
Males literate 55-59
|
Integer | 1979 | |
Males literate 60-64
|
Integer | 1956 | |
Males literate 65-69
|
Integer | 2323 | |
Males literate 70-74
|
Integer | 2292 | |
Males literate 75-79
|
Integer | 1194 | |
Males literate 80-84
|
Integer | 643 | |
Males literate 85-89
|
Integer | 303 | |
Males literate 90-94
|
Integer | 52 | |
Males literate 95-99
|
Integer | 14 | |
Males literate 100+
|
Integer | 1 | |
Males illiterate 15-19
|
Integer | 4 | |
Males illiterate 20-24
|
Integer | 1 | |
Males illiterate 25-29
|
Integer | 1 | |
Males illiterate 30-34
|
Integer | 0 | |
Males illiterate 35-39
|
Integer | 3 | |
Males illiterate 40-44
|
Integer | 3 | |
Males illiterate 45-49
|
Integer | 5 | |
Males illiterate 50-54
|
Integer | 4 | |
Males illiterate 55-59
|
Integer | 2 | |
Males illiterate 60-64
|
Integer | 3 | |
Males illiterate 65-69
|
Integer | 3 | |
Males illiterate 70-74
|
Integer | 0 | |
Males illiterate 75-79
|
Integer | 1 | |
Males illiterate 80-84
|
Integer | 1 | |
Males illiterate 85-89
|
Integer | 2 | |
Males illiterate 90-94
|
Integer | 1 | |
Males illiterate 95-99
|
Integer | 0 | |
Males illiterate 100+
|
Integer | 0 | |
Males literacy unknown 15-19
|
Integer | 25 | |
Males literacy unknown 20-24
|
Integer | 40 | |
Males literacy unknown 25-29
|
Integer | 89 | |
Males literacy unknown 30-34
|
Integer | 135 | |
Males literacy unknown 35-39
|
Integer | 79 | |
Males literacy unknown 40-44
|
Integer | 13 | |
Males literacy unknown 45-49
|
Integer | 15 | |
Males literacy unknown 50-54
|
Integer | 27 | |
Males literacy unknown 55-59
|
Integer | 10 | |
Males literacy unknown 60-64
|
Integer | 13 | |
Males literacy unknown 65-69
|
Integer | 26 | |
Males literacy unknown 70-74
|
Integer | 11 | |
Males literacy unknown 75-79
|
Integer | 15 | |
Males literacy unknown 80-84
|
Integer | 7 | |
Males literacy unknown 85-89
|
Integer | 1 | |
Males literacy unknown 90-94
|
Integer | 1 | |
Males literacy unknown 95-99
|
Integer | 0 | |
Males literacy unknown 100+
|
Integer | 0 | |
Females literate 15-19
|
Integer | 1692 | |
Females literate 20-24
|
Integer | 1647 | |
Females literate 25-29
|
Integer | 1962 | |
Females literate 30-34
|
Integer | 2716 | |
Females literate 35-39
|
Integer | 3382 | |
Females literate 40-44
|
Integer | 3423 | |
Females literate 45-49
|
Integer | 3041 | |
Females literate 50-54
|
Integer | 2411 | |
Females literate 55-59
|
Integer | 2323 | |
Females literate 60-64
|
Integer | 2588 | |
Females literate 65-69
|
Integer | 3163 | |
Females literate 70-74
|
Integer | 2865 | |
Females literate 75-79
|
Integer | 1460 | |
Females literate 80-84
|
Integer | 799 | |
Females literate 85-89
|
Integer | 357 | |
Females literate 90-94
|
Integer | 105 | |
Females literate 95-99
|
Integer | 16 | |
Females literate 100+
|
Integer | 1 | |
Females illiterate 15-19
|
Integer | 1 | |
Females illiterate 20-24
|
Integer | 0 | |
Females illiterate 25-29
|
Integer | 2 | |
Females illiterate 30-34
|
Integer | 4 | |
Females illiterate 35-39
|
Integer | 3 | |
Females illiterate 40-44
|
Integer | 1 | |
Females illiterate 45-49
|
Integer | 3 | |
Females illiterate 50-54
|
Integer | 2 | |
Females illiterate 55-59
|
Integer | 7 | |
Females illiterate 60-64
|
Integer | 6 | |
Females illiterate 65-69
|
Integer | 6 | |
Females illiterate 70-74
|
Integer | 6 | |
Females illiterate 75-79
|
Integer | 9 | |
Females illiterate 80-84
|
Integer | 6 | |
Females illiterate 85-89
|
Integer | 7 | |
Females illiterate 90-94
|
Integer | 6 | |
Females illiterate 95-99
|
Integer | 1 | |
Females illiterate 100+
|
Integer | 0 | |
Females literacy unknown 15-19
|
Integer | 25 | |
Females literacy unknown 20-24
|
Integer | 43 | |
Females literacy unknown 25-29
|
Integer | 81 | |
Females literacy unknown 30-34
|
Integer | 111 | |
Females literacy unknown 35-39
|
Integer | 76 | |
Females literacy unknown 40-44
|
Integer | 12 | |
Females literacy unknown 45-49
|
Integer | 19 | |
Females literacy unknown 50-54
|
Integer | 14 | |
Females literacy unknown 55-59
|
Integer | 12 | |
Females literacy unknown 60-64
|
Integer | 8 | |
Females literacy unknown 65-69
|
Integer | 18 | |
Females literacy unknown 70-74
|
Integer | 24 | |
Females literacy unknown 75-79
|
Integer | 5 | |
Females literacy unknown 80-84
|
Integer | 9 | |
Females literacy unknown 85-89
|
Integer | 1 | |
Females literacy unknown 90-94
|
Integer | 1 | |
Females literacy unknown 95-99
|
Integer | 0 | |
Females literacy unknown 100+
|
Integer | 0 | |
Population with disabilities
|
Integer | 4191 | |
Population with disabilities 0-14
|
Integer | 81 | |
Population with disabilities 15-65
|
Integer | 1590 | |
Population with disabilities 65+
|
Integer | 2520 | |
Population without disabilities
|
Integer | 65554 | |
Population without disabilities 0-14
|
Integer | 9196 | |
Population without disabilities 15-65
|
Integer | 44286 | |
Population without disabilities 65+
|
Integer | 12072 | |
Population disabilities status not unknown
|
Integer | 7990 | |
Population disabilities status not unknown 0-14
|
Integer | 3249 | |
Population disabilities status not unknown 15-65
|
Integer | 3577 | |
Population disabilities status not unknown 65+
|
Integer | 1164 | |
Males with disabilities
|
Integer | 1859 | |
Males with disabilities 0-14
|
Integer | 58 | |
Males with disabilities 15-65
|
Integer | 778 | |
Males with disabilities 65+
|
Integer | 1023 | |
Males without disabilities
|
Integer | 31230 | |
Males without disabilities 0-14
|
Integer | 4701 | |
Males without disabilities 15-65
|
Integer | 21191 | |
Males without disabilities 65+
|
Integer | 5338 | |
Males disabilities status not unknown
|
Integer | 4064 | |
Males disabilities status not unknown 0-14
|
Integer | 1665 | |
Males disabilities status not unknown 15-65
|
Integer | 1869 | |
Males disabilities status not unknown 65+
|
Integer | 530 | |
Females with disabilities
|
Integer | 2332 | |
Females with disabilities 0-14
|
Integer | 23 | |
Females with disabilities 15-65
|
Integer | 812 | |
Females with disabilities 65+
|
Integer | 1497 | |
Females without disabilities
|
Integer | 34324 | |
Females without disabilities 0-14
|
Integer | 4495 | |
Females without disabilities 15-65
|
Integer | 23095 | |
Females without disabilities 65+
|
Integer | 6734 | |
Females disabilities status not unknown
|
Integer | 3926 | |
Females disabilities status not unknown 0-14
|
Integer | 1584 | |
Females disabilities status not unknown 15-65
|
Integer | 1708 | |
Females disabilities status not unknown 65+
|
Integer | 634 | |
People with moving disability
|
Integer | 1872 | |
People with moving disability 0-14
|
Integer | 10 | |
People with moving disability 15-65
|
Integer | 606 | |
People with moving disability 65+
|
Integer | 1256 | |
People with seeing disability
|
Integer | 440 | |
People with seeing disability 0-14
|
Integer | 10 | |
People with seeing disability 15-65
|
Integer | 147 | |
People with seeing disability 65+
|
Integer | 283 | |
People with hearing disability
|
Integer | 270 | |
People with hearing disability 0-14
|
Integer | 5 | |
People with hearing disability 15-65
|
Integer | 52 | |
People with hearing disability 65+
|
Integer | 213 | |
People with communicating disability
|
Integer | 174 | |
People with communicating disability 0-14
|
Integer | 22 | |
People with communicating disability 15-65
|
Integer | 83 | |
People with communicating disability 65+
|
Integer | 69 | |
People with other difficulties
|
Integer | 1435 | |
People with other difficulties disability 0-14
|
Integer | 34 | |
People with other difficulties disability 15-65
|
Integer | 702 | |
People with other difficulties disability 65+
|
Integer | 699 | |
Males with moving disability
|
Integer | 740 | |
Males with moving disability 0-14
|
Integer | 6 | |
Males with moving disability 15-65
|
Integer | 280 | |
Males with moving disability 65+
|
Integer | 454 | |
Males with seeing disability
|
Integer | 183 | |
Males with seeing disability 0-14
|
Integer | 4 | |
Males with seeing disability 15-65
|
Integer | 67 | |
Males with seeing disability 65+
|
Integer | 112 | |
Males with hearing disability
|
Integer | 132 | |
Males with hearing disability 0-14
|
Integer | 4 | |
Males with hearing disability 15-65
|
Integer | 23 | |
Males with hearing disability 65+
|
Integer | 105 | |
Males with communicating disability
|
Integer | 97 | |
Males with communicating disability 0-14
|
Integer | 19 | |
Males with communicating disability 15-65
|
Integer | 48 | |
Males with communicating disability 65+
|
Integer | 30 | |
Males with other difficulties
|
Integer | 707 | |
Males with other difficulties disability 0-14
|
Integer | 25 | |
Males with other difficulties disability 15-65
|
Integer | 360 | |
Males with other difficulties disability 65+
|
Integer | 322 | |
Females with moving disability
|
Integer | 1132 | |
Females with moving disability 0-14
|
Integer | 4 | |
Females with moving disability 15-65
|
Integer | 326 | |
Females with moving disability 65+
|
Integer | 802 | |
Females with seeing disability
|
Integer | 257 | |
Females with seeing disability 0-14
|
Integer | 6 | |
Females with seeing disability 15-65
|
Integer | 80 | |
Females with seeing disability 65+
|
Integer | 171 | |
Females with hearing disability
|
Integer | 138 | |
Females with hearing disability 0-14
|
Integer | 1 | |
Females with hearing disability 15-65
|
Integer | 29 | |
Females with hearing disability 65+
|
Integer | 108 | |
Females with communicating disability
|
Integer | 77 | |
Females with communicating disability 0-14
|
Integer | 3 | |
Females with communicating disability 15-65
|
Integer | 35 | |
Females with communicating disability 65+
|
Integer | 39 | |
Females with other difficulties
|
Integer | 728 | |
Females with other difficulties disability 0-14
|
Integer | 9 | |
Females with other difficulties disability 15-65
|
Integer | 342 | |
Females with other difficulties disability 65+
|
Integer | 377 |
Details
The dataset contains demographic information for the municipalities (opshitini) of Macedonia, offering a snapshot of their 2021 population - age, gender, marital status, education, and more. Data from the State Statistical Office used. If you require the polygon data, please contact us.
Geographical Coverage
Europe
(1)
Macedonia (the former Yugoslav Republic of)
Category Tags
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