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

Migration in Neves Paulista/SP (2017–2022)

Neves Paulista/SP had a reference population (aged 5 or over in 2022) of 9,175 people. In the 2017–2022 five-year period, the municipality received 1,050 in-migrants and lost 535 out-migrants to other municipalities in Brazil, resulting in a net migration of +520 people (56.48 per 1,000 population) and a migration effectiveness index (IEM) of 0.327. This classifies the municipality, for the period, as one of migratory attraction.

Indicators

Migration indicators for Neves Paulista/SP, 2017–2022
IndicatorEstimate95% CIPrecision
In-migrants1,050814 to 1,286good
Out-migrants535365 to 705use with caution
Net migration+520229 to 811not classified
Net migration rate, TLM (per 1,000 pop.)56.48--
Migration effectiveness index (IEM)0.327--

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 Neves Paulista/SP
OriginPeoplePrecision
São José do Rio Preto/SP · view pair in the atlas130use with caution
Monte Aprazível/SP · view pair in the atlas100low precision
São Paulo/SP · view pair in the atlas90low precision
Jaci/SP · view pair in the atlas70low precision
Mirassol/SP · view pair in the atlas55low precision
Murici dos Portelas/PI · view pair in the atlas40low precision
Top 10 destinations of out-migrants from Neves Paulista/SP
DestinationPeoplePrecision
São José do Rio Preto/SP · view pair in the atlas110low precision
Mirassol/SP · view pair in the atlas105low precision
Jaci/SP · view pair in the atlas65low precision
Bálsamo/SP · view pair in the atlas35low precision

Profile of migrants and residents

In-migrants (arrivals)

Migrant type
CategoryEstimateShareSample
Multi-step migration51048.6%50-99
First move from municipality of birth43541.4%50-99
Return to municipality of birth10510.0%20-49
Educational attainment (people aged 25 and over)
CategoryEstimateShareSample
No schooling or incomplete elementary24535.3%20-49
Completed high school, incomplete higher education18526.6%20-49
Completed higher education14520.9%20-49
Completed elementary, incomplete high school12017.3%20-49
Household income per capita (in 2022 minimum wages)
CategoryEstimateShareSample
½ to 1 minimum wage33031.4%50-99
1 to 2 minimum wages31029.5%50-99
¼ to ½ minimum wage23021.9%20-49
More than 2 minimum wages17516.7%20-49
Other / suppressed50.5%<5
Age and sex
CategoryEstimateShareSample
Ages 25–39, male16515.6%20-49
Ages 25–39, female16015.1%20-49
Ages 40–59, female14013.2%20-49
Ages 40–59, male11010.4%20-49
Ages 15–24, male11010.4%20-49
Ages 5–14, female1009.4%20-49
Ages 5–14, male908.5%5-19
Ages 60 and over, female656.1%5-19
Ages 60 and over, male605.7%5-19
Ages 15–24, female605.7%5-19

Out-migrants (departures)

Migrant type
CategoryEstimateShareSample
Multi-step migration32059.8%20-49
First move from municipality of birth17532.7%20-49
Return to municipality of birth407.5%5-19
Educational attainment (people aged 25 and over)
CategoryEstimateShareSample
Completed high school, incomplete higher education15540.8%20-49
No schooling or incomplete elementary14538.2%20-49
Completed elementary, incomplete high school5514.5%5-19
Other / suppressed256.6%<5
Household income per capita (in 2022 minimum wages)
CategoryEstimateShareSample
½ to 1 minimum wage15529.0%20-49
1 to 2 minimum wages14026.2%20-49
More than 2 minimum wages10018.7%5-19
¼ to ½ minimum wage8015.0%5-19
Other / suppressed6011.2%5-19
Age and sex
CategoryEstimateShareSample
Ages 40–59, female9517.8%5-19
Ages 15–24, female9016.8%5-19
Ages 40–59, male7013.1%5-19
Ages 25–39, female7013.1%5-19
Ages 25–39, male6011.2%5-19
Ages 60 and over, female458.4%5-19
Ages 60 and over, male407.5%5-19
Ages 15–24, male407.5%5-19
Other / suppressed254.7%5-19

Non-migrant residents

Educational attainment (people aged 25 and over)
CategoryEstimateShareSample
No schooling or incomplete elementary2,47538.5%100-499
Completed high school, incomplete higher education1,88029.2%100-499
Completed higher education1,12517.5%100-499
Completed elementary, incomplete high school95514.8%100-499
Household income per capita (in 2022 minimum wages)
CategoryEstimateShareSample
1 to 2 minimum wages3,25037.6%>=500
½ to 1 minimum wage2,59530.0%100-499
More than 2 minimum wages1,64519.0%100-499
¼ to ½ minimum wage90510.5%100-499
Up to ¼ of a minimum wage2152.5%20-49
Not applicable (collective dwelling)350.4%5-19
Age and sex
CategoryEstimateShareSample
Ages 40–59, male1,29516.0%100-499
Ages 40–59, female1,25015.4%100-499
Ages 60 and over, female1,18014.5%100-499
Ages 60 and over, male1,01512.5%100-499
Ages 25–39, male84510.4%100-499
Ages 25–39, female84510.4%100-499
Ages 15–24, female4355.4%50-99
Ages 15–24, male4305.3%50-99
Ages 5–14, female4155.1%50-99
Ages 5–14, male4055.0%50-99

Commuting (work and study)

Commuting indicators for Neves Paulista/SP
Employed persons (aged 10 and over)5,025
Commute out to work in another municipality1,245
Commute in from another municipality to work here255
Net commuting−990
Out-commuting rate (%)24.78
Commuting attraction index0.756
Median commuting time35 min

This municipality is part of Região Metropolitana de São José do Rio Preto → see the metropolitan region page

Open Neves Paulista/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]: Neves Paulista/SP. Data from the 2022 Demographic Census (IBGE). Data version: 2026-10-01. Available at: https://atlas-da-migracao.github.io/en/municipio/neves-paulista-sp-3532504/. Dataset DOI: https://doi.org/10.5281/zenodo.22469791.