Geolocet | Latest Employment Demographics Data | Macedonia at Municipality Level - labor force, employment status, and occupation
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Volume
80
Records
Depth
261
Attributes
Size
81 KB
Size
Format
.csv
File
Price
$1.23
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 | |
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 | |
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 |
Details
Demographic information for the municipalities (opshitini) of Macedonia, offering a snapshot of their 2021 population - 250+ attributes, incl. labor force, employment status, and occupation. Data from the State Statistical Office used. If you require the municipalities' polygons, please contact us.
Geographical Coverage
Europe
(1)
Macedonia (the former Yugoslav Republic of)
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