Postal Code 57155 - Marly, Lorraine
Lorraine | France
| Primary City | Marly |
| Area of Postal Code 57155 | 10.8 km² |
| Population | 9,268 |
| Male Population | 4,471 (48.2%) |
| Female Population | 4,797 (51.8%) |
| Population change from 1975 to 2020 | -15.5% |
| Population change from 2000 to 2020 | -5.0% |
| Median Age | 45.2 years |
| Male Median Age | 43.4 years |
| Female Median Age | 46.9 years |
| Timezone | Central European Summer Time |
| Coordinates | 49.06584980717579° / 6.152592049677335° |
| Related Postal Codes | 57150, 57151 CEDEX, 57152 CEDEX, 57153 CEDEX, 57154 CEDEX, 57157 CEDEX, 57158, 57159 CEDEX, 57160, 57170 |
Map of Postal Code 57155 - Marly, Lorraine
Interactive Map
Postal Code 57155 - Marly, Lorraine Population
Years 1975 to 2030
| Data | 1975 | 1990 | 2000 | 2015 | 2020 | 2025* | 2030* |
|---|---|---|---|---|---|---|---|
| Population | 10,969 | 10,434 | 9,753 | 8,914 | 9,268 | 9,017 | 8,917 |
| Population Density | 1,015.8 / km² | 966.2 / km² | 903.2 / km² | 825.5 / km² | 858.3 / km² | 835 / km² | 825.8 / km² |
* Projected
Sources: JRC (European Commission's Joint Research Centre) work on the GHS built-up gridPostal Code 57155 - Marly, Lorraine Population change from 2000 to 2020
Decrease of 5% from year 2000 to 2020
| Location | Change since 1975 | Change since 1990 | Change since 2000 |
|---|---|---|---|
| Postal Code 57155 - Marly, Lorraine | -15.5% | -11.2% | -5% |
| Marly | -32.7% | -27.2% | -22.5% |
| France | — | — | — |
Sources: JRC (European Commission's Joint Research Centre) work on the GHS built-up grid
Postal Code 57155 - Marly, Lorraine Median Age
Median Age: 45.2 years
| Location | Median Age | Median Age (Female) | Median Age (Male) |
|---|---|---|---|
| Postal Code 57155 - Marly, Lorraine | 45.2 yrs | 46.9 yrs | 43.4 yrs |
| Marly | 44.1 yrs | 46.1 yrs | 42 yrs |
| France | 39.6 yrs | 41 yrs | 38.1 yrs |
Sources: CIESIN (Center for International Earth Science Information Network)
Postal Code 57155 Population Density
Population Density: 858 / km²
| Location | Population | Area | Density |
|---|---|---|---|
| Postal Code 57155 | 9,268 | 10.8 km² | 858 / km² |
| Marly | 8,199 | 9.7 km² | 847 / km² |
| France | 65.9 million | 638,022.5 km² | 103 / km² |
Sources: JRC (European Commission's Joint Research Centre) work on the GHS built-up grid
Postal Code 57155 - Marly, Lorraine Historical and Projected Population
Estimated Population from 0 to 2100
Sources:
- JRC (European Commission's Joint Research Centre) work on the GHS built-up grid
- CIESIN (Center for International Earth Science Information Network)
- [Link] Klein Goldewijk, K., Beusen, A., Doelman, J., and Stehfest, E.: Anthropogenic land use estimates for the Holocene – HYDE 3.2, Earth Syst. Sci. Data, 9, 927–953, https://doi.org/10.5194/essd-9-927-2017, 2017.
Area Codes
Percentage Area Codes used by businesses in Postal Code 57155 - Marly, Lorraine
Business Concentration in Postal Code 57155 - Marly, Lorraine

Industries
Business Distribution by Industry in Postal Code 57155 - Marly, Lorraine
| Industry Description | Number of Establishments |
|---|---|
| All food and beverage | 23 |
| Beauty salons | 24 |
| Car repair | 53 |
| Construction of buildings | 48 |
| Corporate management | 35 |
| Grocery stores and supermarkets | 26 |
| Health and medical | 23 |
| Real estate | 28 |
| Restaurants | 45 |
| Shopping | 56 |
| Shopping other | 29 |
| Wholesale of machinery | 26 |
Human Development Index (HDI)
Statistic composite index of life expectancy, education, and per capita income.
Source: [Link] Kummu, M., Taka, M. &Guillaume, J. Gridded global datasets for Gross Domestic Product and Human Development Index over 1990–2015. Sci Data 5, 180004 (2018) doi:10.1038/sdata.2018.4
Postal Code 57155 - Marly, Lorraine Gross Domestic Product (GDP)
GDP per capita, PPP (constant 2017 international $)
| Data | 1990 | 1995 | 2000 | 2005 | 2010 | 2015 | 2020 | 2022 |
|---|---|---|---|---|---|---|---|---|
| GDP per capita | $28,166 | $29,286 | $33,077 | $34,622 | $32,185 | $32,702 | $30,217 | $32,733 |
| Total GDP | $957.7M | $1B | $1.2B | $1.2B | $1.1B | $1.1B | $1B | $1.1B |
Source: [Link] Kummu, M., Kosonen, M. & Masoumzadeh Sayyar, S. Downscaled gridded global dataset for gross domestic product (GDP) per capita PPP over 1990–2022. Sci Data 12, 178 (2025) doi:10.1038/s41597-025-04487-x
Postal Code 57155 CO2 Emissions
Carbon Dioxide (CO2) Emissions Per Capita in Tonnes Per Year
| Location | CO2 Emissions | CO2 Emissions Per Capita | CO2 Emissions Intensity |
|---|---|---|---|
| Postal Code 57155 | 73,183 tn | 7.9 tn | 6,777.1 tons/km² |
| Marly | 64,815 tn | 7.91 tn | 6,696.1 tons/km² |
| France | 485,797,691 tn | 7.38 tn | 761.4 tons/km² |
Sources: [Link] Moran, D., Kanemoto K; Jiborn, M., Wood, R., Többen, J., and Seto, K.C. (2018) Carbon footprints of 13,000 cities. Environmental Research Letters DOI: 10.1088/1748-9326/aac72a
Postal Code 57155 CO2 Emissions
| 2013 CO2 emissions (tonnes/year) | 73,183 tn |
| 2013 CO2 emissions (tonnes/year) per capita | 7.9 tn |
| 2013 CO2 emissions intensity (tonnes/km²/year) | 6,777.1 tons/km² |
Natural Hazards Risk
Relative risk out of 10
| Hazard | Risk Level |
|---|---|
| Flood | High (8) |
| Earthquake | Low (2) |
* Risk, particularly concerning flood or landslide, may not be for the entire area.
Recent Nearby Earthquakes
Magnitude 3.0 and greater
| Date▼ | Time↕ | Magnitude↕ | Distance↕ | Depth↕ | Location↕ | Link |
|---|---|---|---|---|---|---|
| 2/23/08 | 7:30 AM | 4.5 | 60.4 km | 2,000 m | Germany | usgs.gov |
| 2/18/08 | 5:28 AM | 3.2 | 61 km | 1,000 m | Germany | usgs.gov |
| 2/13/08 | 5:56 AM | 3.3 | 58.2 km | 1,000 m | Germany | usgs.gov |
| 2/9/08 | 12:47 PM | 3.5 | 58.6 km | 1,000 m | Germany | usgs.gov |
| 2/3/08 | 4:44 PM | 3.4 | 60.4 km | 1,000 m | Germany | usgs.gov |
| 1/25/08 | 8:19 PM | 3.8 | 58.1 km | 1,000 m | Germany | usgs.gov |
| 1/25/08 | 9:44 PM | 3.9 | 59.8 km | 1,000 m | Germany | usgs.gov |
| 1/16/08 | 2:42 AM | 3.5 | 62.7 km | 1,000 m | Germany | usgs.gov |
| 1/10/08 | 3:17 AM | 3.5 | 60.4 km | 1,000 m | Germany | usgs.gov |
| 1/4/08 | 1:53 AM | 3.5 | 61.7 km | 2,000 m | Germany | usgs.gov |
Showing 1-10 of 198
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Source: U.S. Geological Survey (USGS)
About Our Data
The data on this page is estimated using a number of publicly available tools and resources. It is provided without warranty, and could contain inaccuracies. Use at your own risk.