Geolocet | Latest Demographic Data | Poland at Municipality Level - age, gender, rural/urban population
Geolocet
No reviews yetVerified Data Provider
# | xxxxxxxxxx |
Xxxxxxxxx |
xxxxxx |
xxxxxxxxxx |
Xxxxx |
Xxxxxx |
Xxxxxxxxxx |
Xxxxxx |
---|---|---|---|---|---|---|---|---|
1 | xxxxxxxxxx | Xxxxxxxxx | xxxxxx | xxxxxxxxxx | Xxxxx | Xxxxxx | Xxxxxxxxxx | Xxxxxx |
2 | Xxxxxxxxx | Xxxxxxxxxx | xxxxxxxxx | Xxxxxxxxx | xxxxxxxxx | Xxxxxxx | xxxxxx | Xxxxx |
3 | xxxxxxxxxx | xxxxxx | Xxxxxxxxxx | xxxxxx | Xxxxx | Xxxxxx | xxxxx | xxxxxxxx |
4 | xxxxxxx | Xxxxx | Xxxxxxxx | xxxxxxxxxx | xxxxxx | Xxxxxxxxx | xxxxxx | Xxxxxxxxx |
5 | Xxxxxxxxx | xxxxxxxxxx | Xxxxxx | Xxxxx | xxxxxx | xxxxxxx | xxxxxxx | Xxxxx |
6 | xxxxxx | Xxxxxxxxxx | xxxxxxxx | xxxxxx | Xxxxx | Xxxxxxx | xxxxxx | Xxxxxxxx |
7 | Xxxxxxx | Xxxxx | xxxxxx | xxxxxxxxxx | Xxxxx | xxxxxxxxxx | xxxxxxxxx | Xxxxxxx |
8 | xxxxxxxx | xxxxxxxx | Xxxxxxxxxx | Xxxxxxxx | Xxxxxxxx | xxxxxxxxx | Xxxxxxxxxx | Xxxxxx |
9 | Xxxxxxxxx | xxxxx | xxxxxxx | xxxxxxxxx | Xxxxxx | Xxxxxxx | Xxxxxxxxx | xxxxxxxxx |
10 | xxxxxxxxx | Xxxxx | xxxxxxxx | Xxxxxxx | xxxxxxxxx | Xxxxxxx | xxxxx | Xxxxxxx |
... | xxxxxxx | Xxxxx | xxxxxxxxxx | Xxxxxxx | Xxxxx | xxxxxxxxxx | Xxxxxx | xxxxxx |
Volume
~ 2.37K
Records
Depth
186
Attributes
Size
1.7 MB
Size
Format
.csv
File
Price
$0.23
per record
Freshness
January 2024
last updated
Data Dictionary
Attribute | Type | Example | Mapping |
---|---|---|---|
location_code
|
Integer | 33623 | |
Voivodship
|
String | MALOPOLSKIE | |
Powiat
|
String | Powiat bochenski | |
Gmina
|
String | Bochnia city | |
Polygon ID
|
Integer | 5511989 | |
Polygon name
|
String | pl:Bochnia | |
Total Population
|
Integer | 28692 | |
Males
|
Integer | 13727 | |
Females
|
Integer | 14965 | |
Pop 0
|
Integer | 266 | |
Pop 1 - 4
|
Integer | 1105 | |
Pop 5 - 9
|
Integer | 1539 | |
Pop 10 - 14
|
Integer | 1634 | |
Pop 15 - 19
|
Integer | 1449 | |
Pop 20 - 24
|
Integer | 1405 | |
Pop 25 - 29
|
Integer | 1488 | |
Pop 30 - 34
|
Integer | 1851 | |
Pop 35 - 39
|
Integer | 2313 | |
Pop 40 - 44
|
Integer | 2387 | |
Pop 45 - 49
|
Integer | 2248 | |
Pop 50 - 54
|
Integer | 1783 | |
Pop 55 - 59
|
Integer | 1529 | |
Pop 60 - 64
|
Integer | 1694 | |
Pop 65 - 69
|
Integer | 2017 | |
Pop 70 - 74
|
Integer | 1789 | |
Pop 75 - 79
|
Integer | 1065 | |
Pop 80 - 84
|
Integer | 594 | |
Pop 85+
|
Integer | 536 | |
Males - 0
|
Integer | 156 | |
Males - 1 - 4
|
Integer | 596 | |
Males - 5 - 9
|
Integer | 792 | |
Males - 10 - 14
|
Integer | 823 | |
Males - 15 - 19
|
Integer | 705 | |
Males - 20 - 24
|
Integer | 707 | |
Males - 25 - 29
|
Integer | 737 | |
Males - 30 - 34
|
Integer | 943 | |
Males - 35 - 39
|
Integer | 1145 | |
Males - 40 - 44
|
Integer | 1177 | |
Males - 45 - 49
|
Integer | 1136 | |
Males - 50 - 54
|
Integer | 843 | |
Males - 55 - 59
|
Integer | 712 | |
Males - 60 - 64
|
Integer | 749 | |
Males - 65 - 69
|
Integer | 887 | |
Males - 70 - 74
|
Integer | 810 | |
Males - 75 - 79
|
Integer | 447 | |
Males - 80 - 84
|
Integer | 212 | |
Males 85+
|
Integer | 150 | |
Females - 0
|
Integer | 110 | |
Females - 5 - 9
|
Integer | 509 | |
Females - 1 - 4
|
Integer | 747 | |
Females - 10 - 14
|
Integer | 811 | |
Females - 15 - 19
|
Integer | 744 | |
Females - 20 - 24
|
Integer | 698 | |
Females - 25 - 29
|
Integer | 751 | |
Females - 30 - 34
|
Integer | 908 | |
Females - 35 - 39
|
Integer | 1168 | |
Females - 40 - 44
|
Integer | 1210 | |
Females - 45 - 49
|
Integer | 1112 | |
Females - 50 - 54
|
Integer | 940 | |
Females - 55 - 59
|
Integer | 817 | |
Females - 60 - 64
|
Integer | 945 | |
Females - 65 - 69
|
Integer | 1130 | |
Females - 70 - 74
|
Integer | 979 | |
Females - 75 - 79
|
Integer | 618 | |
Females - 80 - 84
|
Integer | 382 | |
Females - 85+
|
Integer | 386 | |
Urban Population
|
Integer | 28692 | |
Urban - Males
|
Integer | 13727 | |
Urban - Females
|
Integer | 14965 | |
Urban Pop 0
|
Integer | 266 | |
Urban Pop 1 - 4
|
Integer | 1105 | |
Urban Pop 5 - 9
|
Integer | 1539 | |
Urban Pop 10 - 14
|
Integer | 1634 | |
Urban Pop 15 - 19
|
Integer | 1449 | |
Urban Pop 20 - 24
|
Integer | 1405 | |
Urban Pop 25 - 29
|
Integer | 1488 | |
Urban Pop 30 - 34
|
Integer | 1851 | |
Urban Pop 35 - 39
|
Integer | 2313 | |
Urban Pop 40 - 44
|
Integer | 2387 | |
Urban Pop 45 - 49
|
Integer | 2248 | |
Urban Pop 50 - 54
|
Integer | 1783 | |
Urban Pop 55 - 59
|
Integer | 1529 | |
Urban Pop 60 - 64
|
Integer | 1694 | |
Urban Pop 65 - 69
|
Integer | 2017 | |
Urban Pop 70 - 74
|
Integer | 1789 | |
Urban Pop 75 - 79
|
Integer | 1065 | |
Urban Pop 80 - 84
|
Integer | 594 | |
Urban Pop 85+
|
Integer | 536 | |
Urban Males 0
|
Integer | 156 | |
Urban Males 1 - 4
|
Integer | 596 | |
Urban Males 5 - 9
|
Integer | 792 | |
Urban Males 10 - 14
|
Integer | 823 | |
Urban Males 15 - 19
|
Integer | 705 | |
Urban Males 20 - 24
|
Integer | 707 | |
Urban Males 25 - 29
|
Integer | 737 | |
Urban Males 30 - 34
|
Integer | 943 | |
Urban Males 35 - 39
|
Integer | 1145 | |
Urban Males 40 - 44
|
Integer | 1177 | |
Urban Males 45 - 49
|
Integer | 1136 | |
Urban Males 50 - 54
|
Integer | 843 | |
Urban Males 55 - 59
|
Integer | 712 | |
Urban Males 60 - 64
|
Integer | 749 | |
Urban Males 65 - 69
|
Integer | 887 | |
Urban Males 70 - 74
|
Integer | 810 | |
Urban Males 75 - 79
|
Integer | 447 | |
Urban Males 80 - 84
|
Integer | 212 | |
Urban Males 85+
|
Integer | 150 | |
Urban Females 0
|
Integer | 110 | |
Urban Females 1 - 4
|
Integer | 509 | |
Urban Females 5 - 9
|
Integer | 747 | |
Urban Females 10 - 14
|
Integer | 811 | |
Urban Females 15 - 19
|
Integer | 744 | |
Urban Females 20 - 24
|
Integer | 698 | |
Urban Females 25 - 29
|
Integer | 751 | |
Urban Females 30 - 34
|
Integer | 908 | |
Urban Females 35 - 39
|
Integer | 1168 | |
Urban Females 40 - 44
|
Integer | 1210 | |
Urban Females 45 - 49
|
Integer | 1112 | |
Urban Females 50 - 54
|
Integer | 940 | |
Urban Females 55 - 59
|
Integer | 817 | |
Urban Females 60 - 64
|
Integer | 945 | |
Urban Females 65 - 69
|
Integer | 1130 | |
Urban Females 70 - 74
|
Integer | 979 | |
Urban Females 75 - 79
|
Integer | 618 | |
Urban Females 80 - 84
|
Integer | 382 | |
Urban Females 85+
|
Integer | 386 | |
Rural Pop Total
|
Integer | 0 | |
Rural Males
|
Integer | 0 | |
Rural Females
|
Integer | 0 | |
Rural Pop 0
|
Integer | 0 | |
Rural Pop 1 - 4
|
Integer | 0 | |
Rural Pop 5 - 9
|
Integer | 0 | |
Rural Pop 10 - 14
|
Integer | 0 | |
Rural Pop 15 - 19
|
Integer | 0 | |
Rural Pop 20 - 24
|
Integer | 0 | |
Rural Pop 25 - 29
|
Integer | 0 | |
Rural Pop 30 - 34
|
Integer | 0 | |
Rural Pop 35 - 39
|
Integer | 0 | |
Rural Pop 40 - 44
|
Integer | 0 | |
Rural Pop 45 - 49
|
Integer | 0 | |
Rural Pop 50 - 54
|
Integer | 0 | |
Rural Pop 55 - 59
|
Integer | 0 | |
Rural Pop 60 - 64
|
Integer | 0 | |
Rural Pop 65 - 69
|
Integer | 0 | |
Rural Pop 70 - 74
|
Integer | 0 | |
Rural Pop 75 - 79
|
Integer | 0 | |
Rural Pop 80 - 84
|
Integer | 0 | |
Rural Pop 85+
|
Integer | 0 | |
Rural Males 0
|
Integer | 0 | |
Rural Males 1 - 4
|
Integer | 0 | |
Rural Males 5 - 9
|
Integer | 0 | |
Rural Males 10 - 14
|
Integer | 0 | |
Rural Males 15 - 19
|
Integer | 0 | |
Rural Males 20 - 24
|
Integer | 0 | |
Rural Males 25 - 29
|
Integer | 0 | |
Rural Males 30 - 34
|
Integer | 0 | |
Rural Males 35 - 39
|
Integer | 0 | |
Rural Males 40 - 44
|
Integer | 0 | |
Rural Males 45 - 49
|
Integer | 0 | |
Rural Males 50 - 54
|
Integer | 0 | |
Rural Males 55 - 59
|
Integer | 0 | |
Rural Males 60 - 64
|
Integer | 0 | |
Rural Males 65 - 69
|
Integer | 0 | |
Rural Males 70 - 74
|
Integer | 0 | |
Rural Males 75 - 79
|
Integer | 0 | |
Rural Males 80 - 84
|
Integer | 0 | |
Rural Males 85+
|
Integer | 0 | |
Rural Females 0
|
Integer | 0 | |
Rural Females 1 - 4
|
Integer | 0 | |
Rural Females 5 - 9
|
Integer | 0 | |
Rural Females 10 - 14
|
Integer | 0 | |
Rural Females 15 - 19
|
Integer | 0 | |
Rural Females 20 - 24
|
Integer | 0 | |
Rural Females 25 - 29
|
Integer | 0 | |
Rural Females 30 - 34
|
Integer | 0 | |
Rural Females 35 - 39
|
Integer | 0 | |
Rural Females 40 - 44
|
Integer | 0 | |
Rural Females 45 - 49
|
Integer | 0 | |
Rural Females 50 - 54
|
Integer | 0 | |
Rural Females 55 - 59
|
Integer | 0 | |
Rural Females 60 - 64
|
Integer | 0 | |
Rural Females 65 - 69
|
Integer | 0 | |
Rural Females 70 - 74
|
Integer | 0 | |
Rural Females 75 - 79
|
Integer | 0 | |
Rural Females 80 - 84
|
Integer | 0 | |
Rural Females 85+
|
Integer | 0 |
Details
The dataset contains demographic information for 2494 municipalities (gmina) of Poland, offering a comprehensive snapshot of their 2023 population - age, gender, rural/urban distributions, and more. Data from Statistics Poland used. If you require the municipalities' polygons, please contact us.
Geographical Coverage
Europe
(1)
Poland
Category Tags
Similar Datasets
The dataset contains demographic information for the municipalities (район) of Ukraine, offering a comprehensive snapshot of their 2023 population - age, ...
$30.00
$0.23 per record
The dataset contains demographic information for the municipalities (districts) of Belarus, offering a comprehensive snapshot of their 2023 population - ...
$125.00
$0.86 per record
This dataset of historical weather data consists of a number of parameters for the city Warsaw, Poland
$99.00
< $0.01 per record