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Atlas of internal migration in Brazil 2022 Census · 2017–2022

Migration in Echaporã/SP (2017–2022)

Echaporã/SP had a reference population (aged 5 or over in 2022) of 5,800 people. In the 2017–2022 five-year period, the municipality received 445 in-migrants and lost 640 out-migrants to other municipalities in Brazil, resulting in a net migration of −195 people (−33.33 per 1,000 population) and a migration effectiveness index (IEM) of −0.178. This classifies the municipality, for the period, as one of migratory depletion.

Indicators

Migration indicators for Echaporã/SP, 2017–2022
IndicatorEstimate95% CIPrecision
In-migrants445329 to 561good
Out-migrants640385 to 895use with caution
Net migration−195−475 to 85not classified
Net migration rate, TLM (per 1,000 pop.)−33.33--
Migration effectiveness index (IEM)−0.178--

Sample of in-migrants: 100-499 observations. Sample of out-migrants: 50-99 observations. 95% confidence interval computed as estimate ± 1.96 × standard error.

Top origins and destinations

Top 10 origins of in-migrants to Echaporã/SP
OriginPeoplePrecision
Assis/SP · view pair in the atlas75low precision
Marília/SP · view pair in the atlas55low precision
São Paulo/SP · view pair in the atlas40low precision
Ocauçu/SP · view pair in the atlas15low precision
Top 10 destinations of out-migrants from Echaporã/SP
DestinationPeoplePrecision
Marília/SP · view pair in the atlas235low precision
Assis/SP · view pair in the atlas130low precision
Campos Novos Paulista/SP · view pair in the atlas45low precision
Lutécia/SP · view pair in the atlas15low precision

Profile of migrants and residents

In-migrants (arrivals)

Migrant type
CategoryEstimateShareSample
First move from municipality of birth21046.7%50-99
Multi-step migration19543.3%50-99
Return to municipality of birth408.9%5-19
Other / suppressed51.1%<5
Educational attainment (people aged 25 and over)
CategoryEstimateShareSample
No schooling or incomplete elementary12038.1%20-49
Completed high school, incomplete higher education9530.2%20-49
Completed elementary, incomplete high school7022.2%20-49
Completed higher education309.5%5-19
Household income per capita (in 2022 minimum wages)
CategoryEstimateShareSample
½ to 1 minimum wage20044.4%50-99
¼ to ½ minimum wage11525.6%20-49
1 to 2 minimum wages9020.0%20-49
More than 2 minimum wages306.7%5-19
Other / suppressed153.3%<5
Age and sex
CategoryEstimateShareSample
Ages 25–39, male7015.6%20-49
Ages 25–39, female6514.4%20-49
Ages 40–59, male6514.4%20-49
Ages 5–14, female5512.2%5-19
Ages 40–59, female5512.2%5-19
Ages 60 and over, female306.7%5-19
Ages 15–24, female306.7%5-19
Ages 60 and over, male306.7%5-19
Ages 15–24, male255.6%5-19
Ages 5–14, male255.6%5-19

Out-migrants (departures)

Migrant type
CategoryEstimateShareSample
First move from municipality of birth27543.0%20-49
Multi-step migration25539.8%20-49
Return to municipality of birth11017.2%5-19
Educational attainment (people aged 25 and over)
CategoryEstimateShareSample
No schooling or incomplete elementary12532.1%5-19
Completed high school, incomplete higher education11529.5%5-19
Completed higher education8521.8%5-19
Completed elementary, incomplete high school6516.7%5-19
Household income per capita (in 2022 minimum wages)
CategoryEstimateShareSample
¼ to ½ minimum wage20031.2%20-49
½ to 1 minimum wage15023.4%5-19
1 to 2 minimum wages13020.3%5-19
More than 2 minimum wages12018.8%5-19
Up to ¼ of a minimum wage203.1%5-19
Other / suppressed203.1%<5
Age and sex
CategoryEstimateShareSample
Ages 25–39, female13020.3%5-19
Ages 40–59, male8012.5%5-19
Ages 25–39, male8012.5%5-19
Ages 15–24, female7511.7%5-19
Ages 5–14, female7010.9%5-19
Ages 5–14, male609.4%5-19
Other / suppressed609.4%5-19
Ages 15–24, male507.8%5-19
Ages 40–59, female355.5%5-19

Non-migrant residents

Educational attainment (people aged 25 and over)
CategoryEstimateShareSample
No schooling or incomplete elementary1,53539.3%>=500
Completed high school, incomplete higher education1,25532.1%100-499
Completed elementary, incomplete high school56014.3%100-499
Completed higher education55514.2%100-499
Household income per capita (in 2022 minimum wages)
CategoryEstimateShareSample
½ to 1 minimum wage1,91533.3%>=500
1 to 2 minimum wages1,85032.1%>=500
¼ to ½ minimum wage95516.6%100-499
More than 2 minimum wages70512.3%100-499
Up to ¼ of a minimum wage3305.7%100-499
Age and sex
CategoryEstimateShareSample
Ages 40–59, female78514.6%100-499
Ages 40–59, male75514.1%100-499
Ages 60 and over, female66512.4%100-499
Ages 25–39, male61011.4%100-499
Ages 25–39, female56510.5%100-499
Ages 60 and over, male53510.0%100-499
Ages 5–14, male3957.4%100-499
Ages 15–24, female3857.2%100-499
Ages 15–24, male3556.6%100-499
Ages 5–14, female3105.8%50-99

Commuting (work and study)

Commuting indicators for Echaporã/SP
Employed persons (aged 10 and over)2,695
Commute out to work in another municipality315
Commute in from another municipality to work here160
Net commuting−155
Out-commuting rate (%)11.62
Commuting attraction index0.914
Median commuting time40 min

Open Echaporã/SP in the interactive atlas →

Methodological note

Estimates from the sample microdata of the 2022 Demographic Census (IBGE, controlled access), fixed-date migration question (residence on July 31, 2017 compared with residence on July 31, 2022). Every estimate is rounded to multiples of 5 and has passed statistical disclosure control (no cell with fewer than 5 people or 3 sampled households). See the full methodology and the glossary.

How to cite this page

Daniel Pessini Sobreira. Atlas da migração interna no Brasil [Atlas of internal migration in Brazil]: Echaporã/SP. Data from the 2022 Demographic Census (IBGE). Data version: 2026-10-01. Available at: https://atlas-da-migracao.github.io/en/municipio/echapora-sp-3514700/. Dataset DOI: https://doi.org/10.5281/zenodo.22469791.