Industries
Business Distribution by Industry in Tabaí
| Industry Description | Number of Establishments |
|---|---|
| Restaurants | 15 |
| Education | 13 |
| Shopping | 12 |
| Grocery stores and supermarkets | 9 |
| Gas station | 5 |
| Electronics stores | 5 |
| Shopping other | 5 |
| Churches | 5 |
| Public administration | 5 |
| Wholesale of construction supplies | 5 |
| Clothing stores | 5 |
| Bars, pubs and taverns | 5 |
| Pharmacies and drug stores | 5 |
Tabaí Facts
| Area | 3.3 km² |
| Population | 1,418 |
| Male Population | 686 (48.4%) |
| Female Population | 732 (51.6%) |
| Population change (1975 to 2020) | +135.5% |
| Population change (2000 to 2020) | +27.4% |
| Median Age | 32.1 years (Male: 32.9, Female: 30.9) |
| Neighborhoods | Centro, Meireles, Pólo Petroquímico |
| Local Time | |
| Timezone | Brasilia Standard Time |
| Lat & Lng | -29.64306, -51.68222 |
| Postal Codes | 95863 |
Map of Tabaí
Interactive Map
Tabaí Population
Years 1975 to 2020
| Data | 1975 | 1990 | 2000 | 2015 | 2020 |
|---|---|---|---|---|---|
| Population | 602 | 911 | 1,113 | 1,373 | 1,418 |
| Population Density | 185.2 / km² | 280.3 / km² | 342.5 / km² | 422.5 / km² | 436.3 / km² |
Sources: JRC (European Commission's Joint Research Centre) work on the GHS built-up grid
Tabaí Population change from 2000 to 2015
Increase of 23.4% from year 2000 to 2015
| Location | Change since 1975 | Change since 1990 | Change since 2000 |
|---|---|---|---|
| Tabaí | +128.1% | +50.7% | +23.4% |
| Rio Grande do Sul | +49.1% | +17.1% | +6.6% |
| Brazil | +91.5% | +38.1% | +18.2% |
Sources: JRC (European Commission's Joint Research Centre) work on the GHS built-up grid
Tabaí Median Age
Median Age: 32.1 years
| Location | Median Age | Median Age (Female) | Median Age (Male) |
|---|---|---|---|
| Tabaí | 32.1 yrs | 30.9 yrs | 32.9 yrs |
| Rio Grande do Sul | 32.9 yrs | 34.1 yrs | 31.8 yrs |
| Brazil | 29.5 yrs | 30.3 yrs | 28.7 yrs |
Sources: CIESIN (Center for International Earth Science Information Network)
Tabaí Population Density
Population Density: 436 / km²
| Location | Population | Area | Density |
|---|---|---|---|
| Tabaí | 1,418 | 3.25 km² | 436 / km² |
| Rio Grande do Sul | 11.2 million | 268,766.5 km² | 41.7 / 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
Tabaí Historical and Projected Population
Estimated Population from 100 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.
Price Distribution
Business distribution by price for Tabaí
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
Tabaí CO2 Emissions
Carbon Dioxide (CO2) Emissions Per Capita in Tonnes Per Year
| Location | CO2 Emissions | CO2 Emissions Per Capita | CO2 Emissions Intensity |
|---|---|---|---|
| Tabaí | 4,694 tn | 3.31 tn | 1,444.4 tons/km² |
| Rio Grande do Sul | 37,971,816 tn | 3.39 tn | 141.3 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
Tabaí CO2 Emissions
| 2013 CO2 emissions (tonnes/year) | 4,694 tn |
| 2013 CO2 emissions (tonnes/year) per capita | 3.31 tn |
| 2013 CO2 emissions intensity (tonnes/km²/year) | 1,444.4 tons/km² |
Natural Hazards Risk
Relative risk out of 10
| Hazard | Risk Level |
|---|---|
| Flood | High (9) |
* Risk, particularly concerning flood or landslide, may not be for the entire area.
Sources:
- Dilley, M., R.S. Chen, U. Deichmann, A.L. Lerner-Lam, M. Arnold, J. Agwe, P. Buys, O. Kjekstad, B. Lyon, and G. Yetman. 2005. Natural Disaster Hotspots: A Global Risk Analysis. Washington, D.C.: World Bank. https://doi.org/10.1596/0-8213-5930-4.
- Center for Hazards and Risk Research - CHRR - Columbia University, Center for International Earth Science Information Network - CIESIN - Columbia University. 2005. Global Flood Hazard Frequency and Distribution. Palisades, NY: NASA Socioeconomic Data and Applications Center (SEDAC). https://doi.org/10.7927/H4668B3D.
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.