Geolocet | Latest Demographic Data | Macedonia at Municipality Level - 1300+ population, families, and households attributes
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Volume
~ 50
Records
Depth
1351
Attributes
Size
390 KB
Size
Format
.csv
File
Price
$5.88
per record
Freshness
November 2023
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 | |
Ethnic affiliation - total
|
Integer | 77735 | |
Macedonians
|
Integer | 66245 | |
Albanians
|
Integer | 851 | |
Turkish
|
Integer | 464 | |
Romas
|
Integer | 459 | |
Vlachs
|
Integer | 652 | |
Serbians
|
Integer | 2155 | |
Bosniaks
|
Integer | 403 | |
Other
|
Integer | 1157 | |
Ethnic affiliation unknown
|
Integer | 5349 | |
Males macedonians
|
Integer | 31305 | |
Males albanians
|
Integer | 406 | |
Males turkish
|
Integer | 238 | |
Males romas
|
Integer | 238 | |
Males vlachs
|
Integer | 321 | |
Males serbians
|
Integer | 1110 | |
Males bosniaks
|
Integer | 198 | |
Males other
|
Integer | 593 | |
Males ethnic affiliation unknown
|
Integer | 2744 | |
Females macedonians
|
Integer | 34940 | |
Females albanians
|
Integer | 445 | |
Females turkish
|
Integer | 226 | |
Females romas
|
Integer | 221 | |
Females vlachs
|
Integer | 331 | |
Females serbians
|
Integer | 1045 | |
Females bosniaks
|
Integer | 205 | |
Females other
|
Integer | 564 | |
Females ethnic affiliation unknown
|
Integer | 2605 | |
Native language macedonian
|
Integer | 68612 | |
Native language albanian
|
Integer | 812 | |
Native language turkish
|
Integer | 374 | |
Native language romani
|
Integer | 368 | |
Native language vlachs
|
Integer | 257 | |
Native language serbian
|
Integer | 1140 | |
Native language bosniak
|
Integer | 333 | |
Native language other languages not mentioned
|
Integer | 575 | |
Native language sign language
|
Integer | 1 | |
Native language unknown
|
Integer | 5263 | |
Native language males macedonian
|
Integer | 32602 | |
Native language males albanian
|
Integer | 385 | |
Native language males turkish
|
Integer | 188 | |
Native language males romani
|
Integer | 190 | |
Native language males vlachs
|
Integer | 131 | |
Native language males serbian
|
Integer | 551 | |
Native language males bosniak
|
Integer | 163 | |
Native language males other languages not mentioned
|
Integer | 238 | |
Native language males sign language
|
Integer | 1 | |
Native language males unknown
|
Integer | 2704 | |
Native language females macedonian
|
Integer | 36010 | |
Native language females albanian
|
Integer | 427 | |
Native language females turkish
|
Integer | 186 | |
Native language females romani
|
Integer | 178 | |
Native language females vlachs
|
Integer | 126 | |
Native language females serbian
|
Integer | 589 | |
Native language females bosniak
|
Integer | 170 | |
Native language females other languages not mentioned
|
Integer | 337 | |
Native language females sign language
|
Integer | 0 | |
Native language females unknown
|
Integer | 2559 | |
Orthodox
|
Integer | 57492 | |
Muslims (islam)
|
Integer | 2184 | |
Catholics
|
Integer | 455 | |
Christians
|
Integer | 10096 | |
Protestants
|
Integer | 76 | |
Evangelists
|
Integer | 44 | |
Evangelists- methodist
|
Integer | 24 | |
Jehovah's witnesses
|
Integer | 44 | |
Other
|
Integer | 140 | |
Atheist
|
Integer | 1525 | |
Unknown
|
Integer | 5655 | |
Males orthodox
|
Integer | 27159 | |
Males muslims (islam)
|
Integer | 1074 | |
Males catholics
|
Integer | 217 | |
Males christians
|
Integer | 4768 | |
Males protestants
|
Integer | 38 | |
Males evangelists
|
Integer | 25 | |
Males evangelists- methodist
|
Integer | 10 | |
Males jehovah's witnesses
|
Integer | 17 | |
Males other
|
Integer | 67 | |
Males atheist
|
Integer | 880 | |
Males unknown
|
Integer | 2898 | |
Females orthodox
|
Integer | 30333 | |
Females muslims (islam)
|
Integer | 1110 | |
Females catholics
|
Integer | 238 | |
Females christians
|
Integer | 5328 | |
Females protestants
|
Integer | 38 | |
Females evangelists
|
Integer | 19 | |
Females evangelists- methodist
|
Integer | 14 | |
Females jehovah's witnesses
|
Integer | 27 | |
Females other
|
Integer | 73 | |
Females atheist
|
Integer | 645 | |
Females unknown
|
Integer | 2757 | |
Labour force - total
|
Integer | 37462 | |
Employed
|
Integer | 35269 | |
Unemployed
|
Integer | 2193 | |
Total inactive population
|
Integer | 26873 | |
Employment status unknown
|
Integer | 874 | |
Employed 15-19
|
Integer | 126 | |
Employed 20-24
|
Integer | 1401 | |
Employed 25-29
|
Integer | 3170 | |
Employed 30-34
|
Integer | 4638 | |
Employed 35-39
|
Integer | 5876 | |
Employed 40-44
|
Integer | 5990 | |
Employed 45-49
|
Integer | 5087 | |
Employed 50-54
|
Integer | 3858 | |
Employed 55-59
|
Integer | 3071 | |
Employed 60-64
|
Integer | 1795 | |
Employed 65+
|
Integer | 257 | |
Unemployed 15-19
|
Integer | 94 | |
Unemployed 20-24
|
Integer | 302 | |
Unemployed 25-29
|
Integer | 278 | |
Unemployed 30-34
|
Integer | 256 | |
Unemployed 35-39
|
Integer | 280 | |
Unemployed 40-44
|
Integer | 258 | |
Unemployed 45-49
|
Integer | 229 | |
Unemployed 50-54
|
Integer | 194 | |
Unemployed 55-59
|
Integer | 190 | |
Unemployed 60-64
|
Integer | 99 | |
Unemployed 65+
|
Integer | 13 | |
Inactive population 15-19
|
Integer | 3144 | |
Inactive population 20-24
|
Integer | 1671 | |
Inactive population 25-29
|
Integer | 555 | |
Inactive population 30-34
|
Integer | 428 | |
Inactive population 35-39
|
Integer | 471 | |
Inactive population 40-44
|
Integer | 503 | |
Inactive population 45-49
|
Integer | 528 | |
Inactive population 50-54
|
Integer | 643 | |
Inactive population 55-59
|
Integer | 1010 | |
Inactive population 60-64
|
Integer | 2617 | |
Inactive population 65+
|
Integer | 15303 | |
Employment status unknown 15-19
|
Integer | 72 | |
Employment status unknown 20-24
|
Integer | 29 | |
Employment status unknown 25-29
|
Integer | 53 | |
Employment status unknown 30-34
|
Integer | 62 | |
Employment status unknown 35-39
|
Integer | 84 | |
Employment status unknown 40-44
|
Integer | 90 | |
Employment status unknown 45-49
|
Integer | 90 | |
Employment status unknown 50-54
|
Integer | 86 | |
Employment status unknown 55-59
|
Integer | 62 | |
Employment status unknown 60-64
|
Integer | 63 | |
Employment status unknown 65+
|
Integer | 183 | |
Labour force - males
|
Integer | 18594 | |
Males employed
|
Integer | 17430 | |
Males unemployed
|
Integer | 1164 | |
Males total inactive population
|
Integer | 11679 | |
Males employment status unknown
|
Integer | 456 | |
Labour force - females
|
Integer | 18868 | |
Females employed
|
Integer | 17839 | |
Females unemployed
|
Integer | 1029 | |
Females total inactive population
|
Integer | 15194 | |
Females employment status unknown
|
Integer | 418 | |
Males employed 15-19
|
Integer | 74 | |
Males employed 20-24
|
Integer | 766 | |
Males employed 25-29
|
Integer | 1562 | |
Males employed 30-34
|
Integer | 2225 | |
Males employed 35-39
|
Integer | 2845 | |
Males employed 40-44
|
Integer | 2946 | |
Males employed 45-49
|
Integer | 2471 | |
Males employed 50-54
|
Integer | 1942 | |
Males employed 55-59
|
Integer | 1469 | |
Males employed 60-64
|
Integer | 965 | |
Males employed 65+
|
Integer | 165 | |
Males unemployed 15-19
|
Integer | 51 | |
Males unemployed 20-24
|
Integer | 176 | |
Males unemployed 25-29
|
Integer | 154 | |
Males unemployed 30-34
|
Integer | 113 | |
Males unemployed 35-39
|
Integer | 146 | |
Males unemployed 40-44
|
Integer | 146 | |
Males unemployed 45-49
|
Integer | 125 | |
Males unemployed 50-54
|
Integer | 91 | |
Males unemployed 55-59
|
Integer | 87 | |
Males unemployed 60-64
|
Integer | 70 | |
Males unemployed 65+
|
Integer | 5 | |
Males inactive population 15-19
|
Integer | 1554 | |
Males inactive population 20-24
|
Integer | 757 | |
Males inactive population 25-29
|
Integer | 275 | |
Males inactive population 30-34
|
Integer | 182 | |
Males inactive population 35-39
|
Integer | 218 | |
Males inactive population 40-44
|
Integer | 262 | |
Males inactive population 45-49
|
Integer | 235 | |
Males inactive population 50-54
|
Integer | 280 | |
Males inactive population 55-59
|
Integer | 401 | |
Males inactive population 60-64
|
Integer | 892 | |
Males inactive population 65+
|
Integer | 6623 | |
Males employment status unknown 15-19
|
Integer | 39 | |
Males employment status unknown 20-24
|
Integer | 14 | |
Males employment status unknown 25-29
|
Integer | 20 | |
Males employment status unknown 30-34
|
Integer | 33 | |
Males employment status unknown 35-39
|
Integer | 41 | |
Males employment status unknown 40-44
|
Integer | 51 | |
Males employment status unknown 45-49
|
Integer | 40 | |
Males employment status unknown 50-54
|
Integer | 41 | |
Males employment status unknown 55-59
|
Integer | 34 | |
Males employment status unknown 60-64
|
Integer | 45 | |
Males employment status unknown 65+
|
Integer | 98 | |
Females employed 15-19
|
Integer | 52 | |
Females employed 20-24
|
Integer | 635 | |
Females employed 25-29
|
Integer | 1608 | |
Females employed 30-34
|
Integer | 2413 | |
Females employed 35-39
|
Integer | 3031 | |
Females employed 40-44
|
Integer | 3044 | |
Females employed 45-49
|
Integer | 2616 | |
Females employed 50-54
|
Integer | 1916 | |
Females employed 55-59
|
Integer | 1602 | |
Females employed 60-64
|
Integer | 830 | |
Females employed 65+
|
Integer | 92 | |
Females unemployed 15-29
|
Integer | 43 | |
Females unemployed 20-24
|
Integer | 126 | |
Females unemployed 25-29
|
Integer | 124 | |
Females unemployed 30-34
|
Integer | 143 | |
Females unemployed 35-39
|
Integer | 134 | |
Females unemployed 40-44
|
Integer | 112 | |
Females unemployed 45-49
|
Integer | 104 | |
Females unemployed 50-54
|
Integer | 103 | |
Females unemployed 55-59
|
Integer | 103 | |
Females unemployed 60-64
|
Integer | 29 | |
Females unemployed 65+
|
Integer | 8 | |
Females inactive population 15-19
|
Integer | 1590 | |
Females inactive population 20-24
|
Integer | 914 | |
Females inactive population 25-29
|
Integer | 280 | |
Females inactive population 30-34
|
Integer | 246 | |
Females inactive population 35-39
|
Integer | 253 | |
Females inactive population 40-44
|
Integer | 241 | |
Females inactive population 45-49
|
Integer | 293 | |
Females inactive population 50-54
|
Integer | 363 | |
Females inactive population 55-59
|
Integer | 609 | |
Females inactive population 60-64
|
Integer | 1725 | |
Females inactive population 65+
|
Integer | 8680 | |
Females employment status unknown 15-19
|
Integer | 33 | |
Females employment status unknown 20-24
|
Integer | 15 | |
Females employment status unknown 25-29
|
Integer | 33 | |
Females employment status unknown 30-34
|
Integer | 29 | |
Females employment status unknown 35-39
|
Integer | 43 | |
Females employment status unknown 40-44
|
Integer | 39 | |
Females employment status unknown 45-49
|
Integer | 50 | |
Females employment status unknown 50-54
|
Integer | 45 | |
Females employment status unknown 55-59
|
Integer | 28 | |
Females employment status unknown 60-64
|
Integer | 18 | |
Females employment status unknown 65+
|
Integer | 85 | |
Inactive population - pupils and students
|
Integer | 4900 | |
Inactive population - retired
|
Integer | 17249 | |
Inactive population - homemakers
|
Integer | 1717 | |
Inactive population - other
|
Integer | 3007 | |
Inactive males - pupils and students
|
Integer | 2329 | |
Inactive males - retired
|
Integer | 7491 | |
Inactive males - homemakers
|
Integer | 58 | |
Inactive males - other
|
Integer | 1801 | |
Inactive females - pupils and students
|
Integer | 2571 | |
Inactive females - retired
|
Integer | 9758 | |
Inactive females - homemakers
|
Integer | 1659 | |
Inactive females - other
|
Integer | 1206 | |
Unemployed persons - without education
|
Integer | 10 | |
Unemployed persons -incomplete primary and lower secondary education
|
Integer | 8 | |
Unemployed persons -primary and lower secondary education
|
Integer | 108 | |
Unemployed persons -secondary education
|
Integer | 1340 | |
Unemployed persons -high education
|
Integer | 615 | |
Unemployed persons -master's degree
|
Integer | 106 | |
Unemployed persons - doctorate
|
Integer | 6 | |
Unemployed persons - unknown
|
Integer | 0 | |
Unemployed males without education
|
Integer | 4 | |
Unemployed males - incomplete primary and lower secondary education
|
Integer | 4 | |
Unemployed males - primary and lower secondary education
|
Integer | 68 | |
Unemployed males - secondary education
|
Integer | 785 | |
Unemployed males - high education
|
Integer | 268 | |
Unemployed males - master's degree
|
Integer | 34 | |
Unemployed males - doctorate
|
Integer | 1 | |
Unemployed males - education level unknown
|
Integer | 0 | |
Unemployed females without education
|
Integer | 6 | |
Unemployed females - incomplete primary and lower secondary education
|
Integer | 4 | |
Unemployed females - primary and lower secondary education
|
Integer | 40 | |
Unemployed females - secondary education
|
Integer | 555 | |
Unemployed females - high education
|
Integer | 347 | |
Unemployed females - master's degree
|
Integer | 72 | |
Unemployed females - doctorate
|
Integer | 5 | |
Unemployed females - education level unknown
|
Integer | 0 | |
Employees in armed forces
|
Integer | 386 | |
Legislators, senior officials and managers
|
Integer | 1876 | |
Professionals
|
Integer | 13073 | |
Technicians and associate professionals
|
Integer | 6835 | |
Clerks
|
Integer | 2626 | |
Service workers and shop and market sales workers
|
Integer | 4893 | |
Skilled agricultural and fishery workers
|
Integer | 40 | |
Craft and related trades workers
|
Integer | 1830 | |
Plant and machine operators and assemblers
|
Integer | 1288 | |
Elementary occupations
|
Integer | 1754 | |
Unknown occupation
|
Integer | 668 | |
Males armed forces
|
Integer | 322 | |
Males legislators, senior officials and managers
|
Integer | 1096 | |
Males professionals
|
Integer | 5352 | |
Males technicians and associate professionals
|
Integer | 3420 | |
Males clerks
|
Integer | 1222 | |
Males service workers and shop and market sales workers
|
Integer | 2144 | |
Males skilled agricultural and fishery workers
|
Integer | 30 | |
Males craft and related trades workers
|
Integer | 1486 | |
Males plant and machine operators and assemblers
|
Integer | 1148 | |
Males elementary occupations
|
Integer | 827 | |
Males unknown occupation
|
Integer | 383 | |
Female armed forces
|
Integer | 64 | |
Female legislators, senior officials and managers
|
Integer | 780 | |
Female professionals
|
Integer | 7721 | |
Female technicians and associate professionals
|
Integer | 3415 | |
Female clerks
|
Integer | 1404 | |
Female service workers and shop and market sales workers
|
Integer | 2749 | |
Female skilled agricultural and fishery workers
|
Integer | 10 | |
Female craft and related trades workers
|
Integer | 344 | |
Female plant and machine operators and assemblers
|
Integer | 140 | |
Female elementary occupations
|
Integer | 927 | |
Female unknown occupation
|
Integer | 285 | |
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 | |
Means of commute: transportation - total
|
Integer | 35269 | |
Means of commute: walk
|
Integer | 3883 | |
Means of commute: bicycle
|
Integer | 1943 | |
Means of commute: motorcycle
|
Integer | 179 | |
Means of commute: bus (city)
|
Integer | 3859 | |
Means of commute: bus (intercity)
|
Integer | 346 | |
Means of commute: car (mostly driver)
|
Integer | 14250 | |
Means of commute: car (mostly passenger)
|
Integer | 1560 | |
Means of commute: train
|
Integer | 2 | |
Means of commute: other
|
Integer | 258 | |
Means of commute: does not travel
|
Integer | 891 | |
Means of commute: organized transportation
|
Integer | 755 | |
Means of commute: uses more than one vehicle
|
Integer | 4609 | |
Means of commute: unknown
|
Integer | 2734 | |
Males - means of commute: transportation - total
|
Integer | 17430 | |
Males - means of commute: by walk
|
Integer | 1400 | |
Males - means of commute: bicycle
|
Integer | 1105 | |
Males - means of commute: motorcycle
|
Integer | 155 | |
Males - means of commute: bus (city)
|
Integer | 871 | |
Males - means of commute: bus (intercity)
|
Integer | 98 | |
Males - means of commute: car (mostly driver)
|
Integer | 8779 | |
Males - means of commute: car (mostly passenger)
|
Integer | 295 | |
Males - means of commute: train
|
Integer | 1 | |
Males - means of commute: other
|
Integer | 145 | |
Males - means of commute: does not travel
|
Integer | 482 | |
Males - means of commute: organized transportation
|
Integer | 455 | |
Males - means of commute: uses more than one vehicle
|
Integer | 2145 | |
Males - means of commute: unknown
|
Integer | 1499 | |
Females - means of commute: transportation - total
|
Integer | 17839 | |
Females - means of commute: by walk
|
Integer | 2483 | |
Females - means of commute: bicycle
|
Integer | 838 | |
Females - means of commute: motorcycle
|
Integer | 24 | |
Females - means of commute: bus (city)
|
Integer | 2988 | |
Females - means of commute: bus (intercity)
|
Integer | 248 | |
Females - means of commute: car (mostly driver)
|
Integer | 5471 | |
Females - means of commute: car (mostly passenger)
|
Integer | 1265 | |
Females - means of commute: train
|
Integer | 1 | |
Females - means of commute: other
|
Integer | 113 | |
Females - means of commute: does not travel
|
Integer | 409 | |
Females - means of commute: organized transportation
|
Integer | 300 | |
Females - means of commute: uses more than one vehicle
|
Integer | 2464 | |
Females - means of commute: unknown
|
Integer | 1235 | |
Families
|
Integer | 23407 | |
Husband-wife couple without resident children
|
Integer | 6213 | |
Husband-wife couple with at least one resident child under 25
|
Integer | 9945 | |
Husband-wife couple, youngest resident son/daughter 25 or older
|
Integer | 2790 | |
Cohabiting couple without resident children
|
Integer | 377 | |
Cohabiting couple with at least one resident child under 25
|
Integer | 111 | |
Cohabiting couple, youngest resident son/daughter 25 or older
|
Integer | 12 | |
Lone father with at least one resident child under 25
|
Integer | 358 | |
Lone father, youngest resident son/daughter 25 or older
|
Integer | 444 | |
Lone mother with at least one resident child under 25
|
Integer | 1411 | |
Lone mother, youngest resident son/daughter 25 or older
|
Integer | 1746 | |
Number of People
|
Integer | 77735 | |
People in households with 1 member
|
Integer | 5328 | |
People in households with 2 members
|
Integer | 15368 | |
People in households with 3 members
|
Integer | 19236 | |
People in households with 4 members
|
Integer | 23716 | |
People in households with 5 members
|
Integer | 8285 | |
People in households with 6 members
|
Integer | 3690 | |
People in households with 7 members
|
Integer | 1190 | |
People in households with 8 members
|
Integer | 480 | |
People in households with 9 members
|
Integer | 198 | |
People in households with 10+ members
|
Integer | 244 | |
Number of people in not in families
|
Integer | 6787 | |
Number of people in families
|
Integer | 70948 | |
Number of people in a Family with 2 members
|
Integer | 14296 | |
Number of people in a Family with 3 members
|
Integer | 19029 | |
Number of people in a Family with 4 members
|
Integer | 23640 | |
Number of people in a Family with 5 members
|
Integer | 8265 | |
Number of people in a Family with 6 members
|
Integer | 3690 | |
Number of people in a Family with 7 members
|
Integer | 1169 | |
Number of people in a Family with 8 members
|
Integer | 480 | |
Number of people in a Family with 9 members
|
Integer | 189 | |
Number of people in a Family with 10+ members
|
Integer | 190 | |
Number of people in one-family households
|
Integer | 63143 | |
Number of people in Husband-wife couples without children at home
|
Integer | 12566 | |
Number of people in Husband-wife only couples
|
Integer | 9422 | |
Number of people in Husband-wife couples with no childern at home but with other residents
|
Integer | 3144 | |
Number of people in Husband-wife couples and children at home
|
Integer | 41554 | |
Number of people in Husband-wife couples with children home but with no one else
|
Integer | 36555 | |
Number of people in Husband-wife couples with children and others at home
|
Integer | 4999 | |
Number of people in Cohabiting couples without children at home
|
Integer | 710 | |
Number of people in Cohabiting couples without children or anyone else at home
|
Integer | 620 | |
Number of people in Cohabiting couples without children but others at home
|
Integer | 90 | |
Number of people in Cohabiting couples with children at home
|
Integer | 410 | |
Number of people in Cohabiting couples with children at home but no others
|
Integer | 341 | |
Number of people in Cohabiting couples with children and others at home
|
Integer | 69 | |
Number of people with Lone mothers and child/children
|
Integer | 6286 | |
Number of people with Lone mothers and child/children but no one else at home
|
Integer | 5505 | |
Number of people with Lone mother and child/children and others at home
|
Integer | 781 | |
Number of people with Lone fathers and child/children
|
Integer | 1617 | |
Number of people with Lone fathers and child/children with no one else
|
Integer | 1309 | |
Number of people with a Lone father and with child/children and others
|
Integer | 308 | |
Number of people in Multi-family households
|
Integer | 7805 | |
Number of people in Non-family households
|
Integer | 6787 | |
Number of people in one person Non-family households
|
Integer | 5328 | |
Number of people in multi person Non-family households
|
Integer | 1459 | |
Household heating - TOTAL
|
Integer | 27895 | |
Central heating
|
Integer | 16748 | |
Central heating with own installation - total
|
Integer | 2645 | |
Central heating with own installation - electricity
|
Integer | 1296 | |
Central heating with own installation - firewood
|
Integer | 784 | |
Central heating with own installation - coal
|
Integer | 2 | |
Central heating with own installation - pellets
|
Integer | 511 | |
Central heating with own installation - oil
|
Integer | 37 | |
Central heating with own installation - gaseous fuels
|
Integer | 6 | |
Central heating with own installation - other fuels
|
Integer | 5 | |
Central heating with own installation - unknown
|
Integer | 4 | |
Stove heating - total
|
Integer | 3303 | |
Stove heating - electricity
|
Integer | 1255 | |
Stove heating - firewood
|
Integer | 1891 | |
Stove heating - coal
|
Integer | 1 | |
Stove heating - pellets
|
Integer | 140 | |
Stove heating - oil
|
Integer | 2 | |
Stove heating - gaseous fuels
|
Integer | 9 | |
Stove heating - other fuels
|
Integer | 5 | |
Stove heating - unknown
|
Integer | 0 | |
Air conditioner
|
Integer | 3306 | |
Other types of fuel and energy
|
Integer | 113 | |
No heating
|
Integer | 145 | |
Heating - Unknown
|
Integer | 1635 | |
Urban - Type of household heating - TOTAL
|
Integer | 27026 | |
Urban - Central heating
|
Integer | 16748 | |
Urban - Central heating with own installation - total
|
Integer | 2457 | |
Urban - Central heating with own installation - electricity
|
Integer | 1290 | |
Urban - Central heating with own installation - firewood
|
Integer | 672 | |
Urban - Central heating with own installation - coal
|
Integer | 2 | |
Urban - Central heating with own installation - pellets
|
Integer | 445 | |
Urban - Central heating with own installation - oil
|
Integer | 37 | |
Urban - Central heating with own installation - gaseous fuels
|
Integer | 6 | |
Urban - Central heating with own installation - other fuels
|
Integer | 5 | |
Urban - Central heating with own installation - unknown
|
Integer | 0 | |
Urban - Stove heating - total
|
Integer | 2824 | |
Urban - Stove heating - electricity
|
Integer | 1233 | |
Urban - Stove heating - firewood
|
Integer | 1453 | |
Urban - Stove heating - coal
|
Integer | 1 | |
Urban - Stove heating - pellets
|
Integer | 121 | |
Urban - Stove heating - oil
|
Integer | 2 | |
Urban - Stove heating - gaseous fuels
|
Integer | 9 | |
Urban - Stove heating - other fuels
|
Integer | 5 | |
Urban - Stove heating - unknown
|
Integer | 0 | |
Urban - Air conditioner
|
Integer | 3150 | |
Urban - Other types of fuel and energy
|
Integer | 112 | |
Urban - No heating
|
Integer | 140 | |
Urban - Heating - Unknown
|
Integer | 1595 | |
Rural - Type of household heating - total
|
Integer | 869 | |
Rural - Central heating
|
Integer | 0 | |
Rural - Central heating with own installation - total
|
Integer | 188 | |
Rural - Central heating with own installation - electricity
|
Integer | 6 | |
Rural - Central heating with own installation - firewood
|
Integer | 112 | |
Rural - Central heating with own installation - coal
|
Integer | 0 | |
Rural - Central heating with own installation - pellets
|
Integer | 66 | |
Rural - Central heating with own installation - oil
|
Integer | 0 | |
Rural - Central heating with own installation - gaseous fuels
|
Integer | 0 | |
Rural - Central heating with own installation - other fuels
|
Integer | 0 | |
Rural - Central heating with own installation - unknown
|
Integer | 4 | |
Rural - Stove heating - total
|
Integer | 479 | |
Rural - Stove heating - electricity
|
Integer | 22 | |
Rural - Stove heating - firewood
|
Integer | 438 | |
Rural - Stove heating - coal
|
Integer | 0 | |
Rural - Stove heating - pellets
|
Integer | 19 | |
Rural - Stove heating - oil
|
Integer | 0 | |
Rural - Stove heating - gaseous fuels
|
Integer | 0 | |
Rural - Stove heating - other fuels
|
Integer | 0 | |
Rural - Stove heating - unknown
|
Integer | 0 | |
Rural - Air conditioner
|
Integer | 156 | |
Rural - Other types of fuel and energy
|
Integer | 1 | |
Rural - No heating
|
Integer | 5 | |
Rural - Heating - unknown
|
Integer | 40 | |
Water supply system of the household - total
|
Integer | 27895 | |
Water in the dwelling connected to public water supply
|
Integer | 27100 | |
Water in the dwelling connected to own water source
|
Integer | 22 | |
Yard fountain connected to public water supply
|
Integer | 1 | |
Street fountain with water from public water supply
|
Integer | 3 | |
Street fountain with water from a special source
|
Integer | 4 | |
Excavated well
|
Integer | 1 | |
Drilled (pipe) well
|
Integer | 0 | |
Cistern (water tank) with filter
|
Integer | 11 | |
Cistern (water tank) without filter
|
Integer | 2 | |
Bottled water
|
Integer | 750 | |
Water supply Unknown
|
Integer | 1 | |
Urban - Water supply system of the household - total
|
Integer | 27026 | |
Urban - Water in the dwelling connected to public water supply
|
Integer | 26249 | |
Urban - Water in the dwelling connected to own water source
|
Integer | 21 | |
Urban - Yard fountain connected to public water supply
|
Integer | 1 | |
Urban - Street fountain with water from public water supply
|
Integer | 2 | |
Urban - Street fountain with water from a special source
|
Integer | 4 | |
Urban - Excavated well
|
Integer | 1 | |
Urban - Drilled (pipe) well
|
Integer | 0 | |
Urban - Cistern (water tank) with filter
|
Integer | 11 | |
Urban - Cistern (water tank) without filter
|
Integer | 2 | |
Urban - Bottled water
|
Integer | 734 | |
Urban - Water supply Unknown
|
Integer | 1 | |
Rural - Water supply system of the household - total
|
Integer | 869 | |
Rural - Water in the dwelling connected to public water supply
|
Integer | 851 | |
Rural - Water in the dwelling connected to own water source
|
Integer | 1 | |
Rural - Yard fountain connected to public water supply
|
Integer | 0 | |
Rural - Street fountain with water from public water supply
|
Integer | 1 | |
Rural - Street fountain with water from a special source
|
Integer | 0 | |
Rural - Excavated well
|
Integer | 0 | |
Rural - Drilled (pipe) well
|
Integer | 0 | |
Rural - Cistern (water tank) with filter
|
Integer | 0 | |
Rural - Cistern (water tank) without filter
|
Integer | 0 | |
Rural - Bottled water
|
Integer | 16 | |
Rural - Water supply Unknown
|
Integer | 0 | |
Number of dwellings
|
Integer | 35337 | |
Useful floor area in m2
|
Integer | 2571473 | |
Number of occupied dwellings
|
Integer | 26788 | |
Useful floor area in m2 of occupied dwellings
|
Integer | 2032330 | |
Number of vacant dwellings
|
Integer | 8549 | |
Useful floor area in m2 of vacant dwellings
|
Integer | 539143 | |
Kitchen in the dwelling
|
Integer | 35197 | |
Kitchen outside the dwelling
|
Integer | 9 | |
No kitchen
|
Integer | 131 | |
Unknown, kitchen
|
Integer | 0 | |
Bathing facilities in the dwelling
|
Integer | 34782 | |
Bathing facilities outside the dwelling
|
Integer | 23 | |
No bathing facilities
|
Integer | 527 | |
Unknown, bathing facilities
|
Integer | 5 | |
Toilet in the dwelling
|
Integer | 33227 | |
Toilet outside the dwelling
|
Integer | 26 | |
No toilet
|
Integer | 2084 | |
Unknown, toilet
|
Integer | 0 | |
Piped water from a community scheme
|
Integer | 35180 | |
Piped water from a private source
|
Integer | 50 | |
Piped water available within the building, but outside the dwelling
|
Integer | 1 | |
Piped water available outside the building
|
Integer | 4 | |
No piped water available
|
Integer | 102 | |
Unknown, piped water
|
Integer | 0 | |
Sewage disposal system available in the dwelling, wastewater empties into a piped system connected to a public sewage disposal plant
|
Integer | 35088 | |
Wastewater empties into a piped system connected to a private sewage disposal plant
|
Integer | 118 | |
Other arrangements (wastewater empties into an open ditch, a river, a pit, a cesspool, etc.)
|
Integer | 10 | |
No sewage disposal system
|
Integer | 121 | |
Unknown, sewage disposal system
|
Integer | 0 | |
Electricity installation available in the dwelling
|
Integer | 35016 | |
No electricity installation in the dwelling
|
Integer | 321 | |
Unknown, electricity installation
|
Integer | 0 | |
Central heating installation from a community heating centre
|
Integer | 25200 | |
Central heating with own installation
|
Integer | 3610 | |
No central heating installation
|
Integer | 6527 | |
Unknown, central heating
|
Integer | 0 | |
Central air-conditioning unit
|
Integer | 2475 | |
Independent air-conditioning unit
|
Integer | 24866 | |
No air-conditioning
|
Integer | 7996 | |
Unknown, air-conditioning
|
Integer | 0 | |
Solar collectors installation available
|
Integer | 1643 | |
Solar collectors installation available, but not used
|
Integer | 141 | |
No solar collectors installation
|
Integer | 33553 | |
Unknown, solar collectors
|
Integer | 0 | |
Number of dwellings with 1 room
|
Integer | 1250 | |
Number of dwellings with 2 rooms
|
Integer | 8016 | |
Number of dwellings with 3 rooms
|
Integer | 11777 | |
Number of dwellings with 4 rooms
|
Integer | 3794 | |
Number of dwellings with 5 rooms
|
Integer | 783 | |
Number of dwellings with 6 rooms
|
Integer | 578 | |
Number of dwellings with 7 rooms
|
Integer | 204 | |
Number of dwellings with 8 or more rooms
|
Integer | 386 | |
Number of dwellings with unkonwn number of rooms
|
Integer | 8549 | |
Dwellings - Total useful floor area in m3
|
Integer | 2571473 | |
Useful floor area in m2 in dwellings with 1 room
|
Integer | 47998 | |
Useful floor area in m2 in dwellings with 2 rooms
|
Integer | 441022 | |
Useful floor area in m2 in dwellings with 3 rooms
|
Integer | 860936 | |
Useful floor area in m2 in dwellings with 4 rooms
|
Integer | 364668 | |
Useful floor area in m2 in dwellings with 5 rooms
|
Integer | 99325 | |
Useful floor area in m2 in dwellings with 6 rooms
|
Integer | 92253 | |
Useful floor area in m2 in dwellings with 7 rooms
|
Integer | 38457 | |
Useful floor area in m2 in dwellings with 8 or more rooms
|
Integer | 87671 | |
Useful floor area in m2 in dwellings with unkonwn number of rooms
|
Integer | 539143 | |
Total number of people living in dwellings
|
Integer | 77677 | |
Number of persons in dwellings with 1 room
|
Integer | 2356 | |
Number of persons in dwellings with 2 rooms
|
Integer | 19568 | |
Number of persons in dwellings with 3 rooms
|
Integer | 34782 | |
Number of persons in dwellings with 4 rooms
|
Integer | 12734 | |
Number of persons in dwellings with 5 rooms
|
Integer | 2929 | |
Number of persons in dwellings with 6 rooms
|
Integer | 2462 | |
Number of persons in dwellings with 7 rooms
|
Integer | 939 | |
Number of persons in dwellings with 8 or more rooms
|
Integer | 1907 |
Details
Demographic dataset for the 80 municipalities (opshtini) of Macedonia, offering a detailed 2021 snapshot of their population, families, and households - 1300+ attributes. Republic of North Macedonia State Statistical Office data used. If you require the municipalities' polygons, please contact us.
Geographical Coverage
Europe
(1)
Macedonia (the former Yugoslav Republic of)
Category Tags
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