Postal Code 74455-000 - Brazil
Brazil
| Area of Postal Code 74455-000 | 3.67 km² |
| Population | 14,921 |
| Male Population | 7,136 (47.8%) |
| Female Population | 7,785 (52.2%) |
| Population change from 1975 to 2020 | +325.2% |
| Population change from 2000 to 2020 | +114.8% |
| Median Age | 29.7 years |
| Male Median Age | 28.9 years |
| Female Median Age | 30.5 years |
| Area Codes | 62 |
| Postal Code Extensions | 74455-010, 74455-013, 74455-020, 74455-025, 74455-030, 74455-040, 74455-050, 74455-055, 74455-060, 74455-065 More |
| Associated Cities | Goiânia, Aparecida de Goiânia |
| Neighborhoods | Ipiranga, Jardim Leblon, Jardim Leblon II, Jardim Petropolis, São Francisco |
| Coordinates | -16.799829990039125° / -49.34824999824134° |
| Related Postal Codes | 74423-000, 74425-000, 74430-000, 74433-000, 74435-000, 74440-000, 74441-000, 74445-000, 74450-000, 74453-000 |
Map of Postal Code 74455-000 - Brazil
Interactive Map
Postal Code 74455-000 - Brazil Population
Years 1975 to 2030
| Data | 1975 | 1990 | 2000 | 2015 | 2020 | 2025* | 2030* |
|---|---|---|---|---|---|---|---|
| Population | 3,509 | 5,791 | 6,947 | 9,338 | 14,921 | 16,003 | 16,442 |
| Population Density | 956 / km² | 1,577.8 / km² | 1,892.8 / km² | 2,544.2 / km² | 4,065.3 / km² | 4,360.1 / km² | 4,479.7 / km² |
* Projected
Sources: JRC (European Commission's Joint Research Centre) work on the GHS built-up gridPostal Code 74455-000 - Brazil Population change from 2000 to 2020
Increase of 114.8% from year 2000 to 2020
| Location | Change since 1975 | Change since 1990 | Change since 2000 |
|---|---|---|---|
| Postal Code 74455-000 - Brazil | +325.2% | +157.7% | +114.8% |
| Brazil | — | — | — |
Sources: JRC (European Commission's Joint Research Centre) work on the GHS built-up grid
Postal Code 74455-000 - Brazil Median Age
Median Age: 29.7 years
| Location | Median Age | Median Age (Female) | Median Age (Male) |
|---|---|---|---|
| Postal Code 74455-000 - Brazil | 29.7 yrs | 30.5 yrs | 28.9 yrs |
| Brazil | 29.5 yrs | 30.3 yrs | 28.7 yrs |
Sources: CIESIN (Center for International Earth Science Information Network)
Postal Code 74455-000 Population Density
Population Density: 4,065 / km²
| Location | Population | Area | Density |
|---|---|---|---|
| Postal Code 74455-000 | 14,921 | 3.67 km² | 4,065 / km² |
| Brazil | 206.1 million | 8,479,487.1 km² | 24.3 / km² |
Sources: JRC (European Commission's Joint Research Centre) work on the GHS built-up grid
Postal Code 74455-000 - Brazil Historical and Projected Population
Estimated Population from 1920 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.
Neighborhoods
Business Distribution by neighborhood in Postal Code 74455-000 - Brazil
Industries
Business Distribution by Industry in Postal Code 74455-000 - Brazil
| Industry Description | Number of Establishments |
|---|---|
| Bars, pubs and taverns | 28 |
| Beauty salons | 42 |
| Car repair | 53 |
| Churches | 10 |
| Clothing stores | 21 |
| Grocery stores and supermarkets | 6 |
| Religion | 3 |
| Restaurants | 35 |
| Shopping | 22 |
| Businesses | 1,655 |
| Estimated total revenue | ~R$317.9M |
| Median revenue per business | ~R$180.4K |
| Estimated jobs | 2,170 |
| Estimated payroll | ~R$87.1M |
| Industries | Businesses | Total revenue | Median | Jobs |
|---|---|---|---|---|
| Wholesale and retail trade; repair of motor vehicles and motorcycles | 522 | ~R$206.9M | ~R$318.3K | 835 |
| Other service activities | 171 | ~R$26.3M | ~R$154.4K | 219 |
| Manufacturing | 60 | ~R$15.3M | ~R$265.4K | 132 |
| Accommodation and food service activities | 120 | ~R$10.8M | ~R$92.8K | 185 |
| Transportation and storage | 40 | ~R$10.6M | ~R$247.8K | 114 |
| Human health and social work activities | 22 | ~R$8.3M | ~R$142.1K | 34 |
| Professional, scientific and technical activities | 80 | ~R$5.6M | ~R$39.2K | 160 |
| Construction | 53 | ~R$3.6M | ~R$96.2K | 84 |
Largest businesses by estimated revenue
- Iquego — Goiânia · ~R$8.6M
- Bretas Atacarejo - Bairro Goiá — Goiânia · ~R$6.9M
- Cais Bairro Goiá — Goiânia · ~R$6.5M
- SkymilhoFerinha Ferinha Skymilho — Goiânia · ~R$6.4M
- Di Paula Moda Esportiva — Goiânia · ~R$4.2M
median from the 966 of 1,655 businesses with estimates Estimate based on strong signals
Postal Code 74455-000 - Brazil — Revenue trend
Median business revenue by year
| Year | 2019 | 2020 | 2021 | 2022 | 2023 | 2024 |
|---|---|---|---|---|---|---|
| Median revenue per business | ~R$160.9K | ~R$156.1K | ~R$168.3K | ~R$178.5K | ~R$174.9K | ~R$180.2K |
Revenue modeled for the same 977 businesses across all years. Estimate based on strong signals
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 74455-000 - Brazil Gross Domestic Product (GDP)
GDP per capita, PPP (constant 2017 international $)
| Data | 1990 | 1995 | 2000 | 2005 | 2010 | 2015 | 2020 | 2022 |
|---|---|---|---|---|---|---|---|---|
| GDP per capita | $10,109 | $12,475 | $14,105 | $15,280 | $19,707 | $20,363 | $19,189 | $20,832 |
| Total GDP | $1.9B | $2.8B | $3.8B | $4.5B | $6.4B | $7.4B | $7.8B | $8.7B |
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 74455-000 CO2 Emissions
Carbon Dioxide (CO2) Emissions Per Capita in Tonnes Per Year
| Location | CO2 Emissions | CO2 Emissions Per Capita | CO2 Emissions Intensity |
|---|---|---|---|
| Postal Code 74455-000 | 65,434 tn | 4.39 tn | 17,827.9 tons/km² |
| Brazil | 561,829,904 tn | 2.73 tn | 66.3 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 74455-000 CO2 Emissions
| 2013 CO2 emissions (tonnes/year) | 65,434 tn |
| 2013 CO2 emissions (tonnes/year) per capita | 4.39 tn |
| 2013 CO2 emissions intensity (tonnes/km²/year) | 17,827.9 tons/km² |
Postal Code Extensions (140)
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.