Geolocet | Latest Demographic Data | Moldova at Municipality Level - age, gender, rural/urban population, income
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Volume
35
Records
Depth
164
Attributes
Size
30 KB
Size
Format
.csv
File
Price
$2.08
per record
Freshness
January 2024
last updated
Data Dictionary
Attribute | Type | Example | Mapping |
---|---|---|---|
Municipality
|
String | Balti | |
Polygon ID
|
Integer | 117967 | |
Total Population
|
Integer | 94557 | |
Males
|
Integer | 43440 | |
Females
|
Integer | 51117 | |
Pop 0-4
|
Integer | 5321 | |
Pop 5-9
|
Integer | 6734 | |
Pop 10-14
|
Integer | 6229 | |
Pop 15-19
|
Integer | 4932 | |
Pop 20-24
|
Integer | 3561 | |
Pop 25-29
|
Integer | 7024 | |
Pop 30-34
|
Integer | 7993 | |
Pop 35-39
|
Integer | 8700 | |
Pop 40-41
|
Integer | 7247 | |
Pop 45-49
|
Integer | 5746 | |
Pop 50-54
|
Integer | 5499 | |
Pop 55-59
|
Integer | 5560 | |
Pop 60-64
|
Integer | 6640 | |
Pop 65-69
|
Integer | 5353 | |
Pop 70-74
|
Integer | 4507 | |
Pop 75 over
|
Integer | 3511 | |
Males 0-4
|
Integer | 2759 | |
Males 5-9
|
Integer | 3472 | |
Males 10-14
|
Integer | 3113 | |
Males 15-19
|
Integer | 2537 | |
Males 20-24
|
Integer | 1799 | |
Males 25-29
|
Integer | 3233 | |
Males 30-34
|
Integer | 3589 | |
Males 35-39
|
Integer | 4265 | |
Males 40-41
|
Integer | 3573 | |
Males 45-49
|
Integer | 2786 | |
Males 50-54
|
Integer | 2468 | |
Males 55-59
|
Integer | 2498 | |
Males 60-64
|
Integer | 2707 | |
Males 65-69
|
Integer | 2074 | |
Males 70-74
|
Integer | 1518 | |
Males 75 over
|
Integer | 1049 | |
Females 0-4
|
Integer | 2562 | |
Females 5-9
|
Integer | 3262 | |
Females 10-14
|
Integer | 3116 | |
Females 15-19
|
Integer | 2395 | |
Females 20-24
|
Integer | 1762 | |
Females 25-29
|
Integer | 3791 | |
Females 30-34
|
Integer | 4404 | |
Females 35-39
|
Integer | 4435 | |
Females 40-41
|
Integer | 3674 | |
Females 45-49
|
Integer | 2960 | |
Females 50-54
|
Integer | 3031 | |
Females 55-59
|
Integer | 3062 | |
Females 60-64
|
Integer | 3933 | |
Females 65-69
|
Integer | 3279 | |
Females 70-74
|
Integer | 2989 | |
Females 75 over
|
Integer | 2462 | |
Urban Population
|
Integer | 90504 | |
Rural Population
|
Integer | 4053 | |
Urban Pop - Males
|
Integer | 41534 | |
Urban Pop - Females
|
Integer | 48970 | |
Rural Pop - Males
|
Integer | 1906 | |
Rural Pop - Females
|
Integer | 2147 | |
Urban Pop 0-4
|
Integer | 5121 | |
Urban Pop 5-9
|
Integer | 6448 | |
Urban Pop 10-14
|
Integer | 5948 | |
Urban Pop 15-19
|
Integer | 4701 | |
Urban Pop 20-24
|
Integer | 3388 | |
Urban Pop 25-29
|
Integer | 6786 | |
Urban Pop 30-34
|
Integer | 7685 | |
Urban Pop 35-39
|
Integer | 8386 | |
Urban Pop 40-41
|
Integer | 6971 | |
Urban Pop 45-49
|
Integer | 5505 | |
Urban Pop 50-54
|
Integer | 5210 | |
Urban Pop 55-59
|
Integer | 5261 | |
Urban Pop 60-64
|
Integer | 6343 | |
Urban Pop 65-69
|
Integer | 5094 | |
Urban Pop 70-74
|
Integer | 4324 | |
Urban Pop 75 over
|
Integer | 3333 | |
Urban Pop - Males - 0-4
|
Integer | 2655 | |
Urban Pop - Males - 5-9
|
Integer | 3313 | |
Urban Pop - Males - 10-14
|
Integer | 2977 | |
Urban Pop - Males - 15-19
|
Integer | 2432 | |
Urban Pop - Males - 20-24
|
Integer | 1714 | |
Urban Pop - Males - 25-29
|
Integer | 3119 | |
Urban Pop - Males - 30-34
|
Integer | 3437 | |
Urban Pop - Males - 35-39
|
Integer | 4103 | |
Urban Pop - Males - 40-41
|
Integer | 3440 | |
Urban Pop - Males - 45-49
|
Integer | 2668 | |
Urban Pop - Males - 50-54
|
Integer | 2334 | |
Urban Pop - Males - 55-59
|
Integer | 2345 | |
Urban Pop - Males - 60-64
|
Integer | 2576 | |
Urban Pop - Males - 65-69
|
Integer | 1980 | |
Urban Pop - Males - 70-74
|
Integer | 1442 | |
Urban Pop - Males - 75 over
|
Integer | 999 | |
Urban Pop - Females - 0-4
|
Integer | 2466 | |
Urban Pop - Females - 5-9
|
Integer | 3135 | |
Urban Pop - Females - 10-14
|
Integer | 2971 | |
Urban Pop - Females - 15-19
|
Integer | 2269 | |
Urban Pop - Females - 20-24
|
Integer | 1674 | |
Urban Pop - Females - 25-29
|
Integer | 3667 | |
Urban Pop - Females - 30-34
|
Integer | 4248 | |
Urban Pop - Females - 35-39
|
Integer | 4283 | |
Urban Pop - Females - 40-41
|
Integer | 3531 | |
Urban Pop - Females - 45-49
|
Integer | 2837 | |
Urban Pop - Females - 50-54
|
Integer | 2876 | |
Urban Pop - Females - 55-59
|
Integer | 2916 | |
Urban Pop - Females - 60-64
|
Integer | 3767 | |
Urban Pop - Females - 65-69
|
Integer | 3114 | |
Urban Pop - Females - 70-74
|
Integer | 2882 | |
Urban Pop - Females - 75 over
|
Integer | 2334 | |
Rural Pop 0-4
|
Integer | 200 | |
Rural Pop 5-9
|
Integer | 286 | |
Rural Pop 10-14
|
Integer | 281 | |
Rural Pop 15-19
|
Integer | 231 | |
Rural Pop 20-24
|
Integer | 173 | |
Rural Pop 25-29
|
Integer | 238 | |
Rural Pop 30-34
|
Integer | 308 | |
Rural Pop 35-39
|
Integer | 314 | |
Rural Pop 40-41
|
Integer | 276 | |
Rural Pop 45-49
|
Integer | 241 | |
Rural Pop 50-54
|
Integer | 289 | |
Rural Pop 55-59
|
Integer | 299 | |
Rural Pop 60-64
|
Integer | 297 | |
Rural Pop 65-69
|
Integer | 259 | |
Rural Pop 70-74
|
Integer | 183 | |
Rural Pop 75 over
|
Integer | 178 | |
Rural Pop - Males - 0-4
|
Integer | 104 | |
Rural Pop - Males - 5-9
|
Integer | 159 | |
Rural Pop - Males - 10-14
|
Integer | 136 | |
Rural Pop - Males - 15-19
|
Integer | 105 | |
Rural Pop - Males - 20-24
|
Integer | 85 | |
Rural Pop - Males - 25-29
|
Integer | 114 | |
Rural Pop - Males - 30-34
|
Integer | 152 | |
Rural Pop - Males - 35-39
|
Integer | 162 | |
Rural Pop - Males - 40-41
|
Integer | 133 | |
Rural Pop - Males - 45-49
|
Integer | 118 | |
Rural Pop - Males - 50-54
|
Integer | 134 | |
Rural Pop - Males - 55-59
|
Integer | 153 | |
Rural Pop - Males - 60-64
|
Integer | 131 | |
Rural Pop - Males - 65-69
|
Integer | 94 | |
Rural Pop - Males - 70-74
|
Integer | 76 | |
Rural Pop - Males - 75 over
|
Integer | 50 | |
Rural Pop - Females - 0-4
|
Integer | 96 | |
Rural Pop - Females - 5-9
|
Integer | 127 | |
Rural Pop - Females - 10-14
|
Integer | 145 | |
Rural Pop - Females - 15-19
|
Integer | 126 | |
Rural Pop - Females - 20-24
|
Integer | 88 | |
Rural Pop - Females - 25-29
|
Integer | 124 | |
Rural Pop - Females - 30-34
|
Integer | 156 | |
Rural Pop - Females - 35-39
|
Integer | 152 | |
Rural Pop - Females - 40-41
|
Integer | 143 | |
Rural Pop - Females - 45-49
|
Integer | 123 | |
Rural Pop - Females - 50-54
|
Integer | 155 | |
Rural Pop - Females - 55-59
|
Integer | 146 | |
Rural Pop - Females - 60-64
|
Integer | 166 | |
Rural Pop - Females - 65-69
|
Integer | 165 | |
Rural Pop - Females - 70-74
|
Integer | 107 | |
Rural Pop - Females - 75 over
|
Integer | 128 | |
Average gross monthly earnings, lei - All Economic Activities
|
Float | 9589.6 | |
Agriculture, forestry and fishing - Average gross monthly earnings, lei
|
Float | 6731.3 | |
Industry and construction - Average gross monthly earnings, lei
|
Float | 10596.2 | |
Public administration and defence; compulsory social security - Average gross monthly earnings, lei
|
Float | 11255.3 | |
Education - Average gross monthly earnings, lei
|
Float | 8984.0 | |
Other activities - Average gross monthly earnings, lei
|
Float | 8789.9 | |
Numer of employees
|
Integer | 45971 | |
Numer of employees - Males
|
Integer | 21364 | |
Numer of employees - Females
|
Integer | 24607 |
Details
The dataset contains demographic information for 35 municipalities of Moldova, offering a snapshot of their 2023 population - age, gender, rural/urban population, income, and more. Data from the NBS of the Republic of Moldova used. If you require the municipalities' polygons, please contact us.
Geographical Coverage
Europe
(1)
Moldova (Republic of)
Category Tags
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