Migration in São Manuel/SP (2017–2022)

São Manuel/SP had a reference population (aged 5 or over in 2022) of 35,300 people. In the 2017–2022 five-year period, the municipality received 1,620 in-migrants and lost 2,055 out-migrants to other municipalities in Brazil, resulting in a net migration of −430 people (−12.24 per 1,000 population) and a migration effectiveness index (IEM) of −0.118. This classifies the municipality, for the period, as one of migratory depletion. In addition, 0 arrived with an unreported origin and 10 came from abroad.

Indicators

Migration indicators for São Manuel/SP, 2017–2022
Indicator	Estimate	95% CI	Precision
In-migrants	1,620	1,190 to 2,050	good
Out-migrants	2,055	1,667 to 2,443	good
Net migration	−430	−1,010 to 150	not classified
Net migration rate, TLM (per 1,000 pop.)	−12.24	-	-
Migration effectiveness index (IEM)	−0.118	-	-

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

Top origins and destinations

Top 10 origins of in-migrants to São Manuel/SP
Origin	People	Precision
Botucatu/SP · view pair in the atlas	245	low precision
São Paulo/SP · view pair in the atlas	120	low precision
Lençóis Paulista/SP · view pair in the atlas	90	low precision
Areiópolis/SP · view pair in the atlas	50	low precision
Pratânia/SP · view pair in the atlas	45	low precision

Top 10 destinations of out-migrants from São Manuel/SP
Destination	People	Precision
Botucatu/SP · view pair in the atlas	450	use with caution
Lençóis Paulista/SP · view pair in the atlas	100	low precision
Bauru/SP · view pair in the atlas	95	low precision
Pratânia/SP · view pair in the atlas	80	use with caution
Avaré/SP · view pair in the atlas	65	low precision
Areiópolis/SP · view pair in the atlas	50	low precision

Profile of migrants and residents

In-migrants (arrivals)

Migrant type
Category	Estimate	Share	Sample
First move from municipality of birth	750	46.3%	50-99
Multi-step migration	570	35.2%	50-99
Return to municipality of birth	270	16.7%	20-49
Other / suppressed	30	1.9%	<5

Educational attainment (people aged 25 and over)
Category	Estimate	Share	Sample
Completed high school, incomplete higher education	525	45.9%	20-49
No schooling or incomplete elementary	270	23.6%	20-49
Completed higher education	190	16.6%	5-19
Completed elementary, incomplete high school	160	14.0%	5-19

Household income per capita (in 2022 minimum wages)
Category	Estimate	Share	Sample
1 to 2 minimum wages	465	28.8%	20-49
½ to 1 minimum wage	425	26.3%	20-49
More than 2 minimum wages	375	23.2%	20-49
¼ to ½ minimum wage	215	13.3%	20-49
Up to ¼ of a minimum wage	120	7.4%	5-19
Other / suppressed	15	0.9%	<5

Age and sex
Category	Estimate	Share	Sample
Ages 40–59, male	315	19.3%	20-49
Ages 25–39, female	245	15.0%	20-49
Ages 25–39, male	240	14.7%	20-49
Ages 40–59, female	195	12.0%	5-19
Ages 15–24, female	150	9.2%	5-19
Ages 15–24, male	140	8.6%	5-19
Ages 5–14, female	130	8.0%	5-19
Ages 60 and over, male	95	5.8%	5-19
Ages 5–14, male	65	4.0%	5-19
Ages 60 and over, female	55	3.4%	5-19

Out-migrants (departures)

Migrant type
Category	Estimate	Share	Sample
First move from municipality of birth	960	46.8%	100-499
Multi-step migration	830	40.5%	100-499
Return to municipality of birth	260	12.7%	20-49

Educational attainment (people aged 25 and over)
Category	Estimate	Share	Sample
Completed high school, incomplete higher education	610	45.7%	50-99
No schooling or incomplete elementary	355	26.6%	50-99
Completed higher education	195	14.6%	20-49
Completed elementary, incomplete high school	175	13.1%	5-19

Household income per capita (in 2022 minimum wages)
Category	Estimate	Share	Sample
½ to 1 minimum wage	685	33.3%	50-99
1 to 2 minimum wages	540	26.3%	50-99
More than 2 minimum wages	410	20.0%	20-49
¼ to ½ minimum wage	295	14.4%	20-49
Up to ¼ of a minimum wage	110	5.4%	5-19
Other / suppressed	15	0.7%	<5

Age and sex
Category	Estimate	Share	Sample
Ages 25–39, female	380	18.5%	20-49
Ages 40–59, male	290	14.1%	20-49
Ages 15–24, male	275	13.4%	20-49
Ages 25–39, male	265	12.9%	20-49
Ages 40–59, female	240	11.7%	20-49
Ages 15–24, female	170	8.3%	20-49
Ages 5–14, male	140	6.8%	5-19
Ages 5–14, female	130	6.3%	5-19
Ages 60 and over, female	85	4.1%	5-19
Ages 60 and over, male	80	3.9%	5-19

Non-migrant residents

Educational attainment (people aged 25 and over)
Category	Estimate	Share	Sample
Completed high school, incomplete higher education	9,395	38.4%	>=500
No schooling or incomplete elementary	7,900	32.3%	>=500
Completed elementary, incomplete high school	3,755	15.3%	100-499
Completed higher education	3,430	14.0%	100-499

Household income per capita (in 2022 minimum wages)
Category	Estimate	Share	Sample
1 to 2 minimum wages	11,115	31.2%	>=500
½ to 1 minimum wage	10,970	30.8%	>=500
¼ to ½ minimum wage	6,155	17.3%	>=500
More than 2 minimum wages	5,025	14.1%	100-499
Up to ¼ of a minimum wage	2,360	6.6%	100-499
Other / suppressed	35	0.1%	<5

Age and sex
Category	Estimate	Share	Sample
Ages 40–59, female	5,185	15.4%	100-499
Ages 40–59, male	4,790	14.2%	100-499
Ages 25–39, female	3,955	11.8%	100-499
Ages 25–39, male	3,935	11.7%	100-499
Ages 60 and over, female	3,595	10.7%	100-499
Ages 60 and over, male	3,015	9.0%	100-499
Ages 15–24, male	2,440	7.3%	100-499
Ages 5–14, male	2,270	6.7%	100-499
Ages 15–24, female	2,260	6.7%	100-499
Ages 5–14, female	2,210	6.6%	100-499

Commuting (work and study)

Commuting indicators for São Manuel/SP
Employed persons (aged 10 and over)	16,555
Commute out to work in another municipality	2,865
Commute in from another municipality to work here	1,370
Net commuting	−1,495
Out-commuting rate (%)	17.30
Commuting attraction index	0.881
Median commuting time	40 min

Open São Manuel/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]: São Manuel/SP. Data from the 2022 Demographic Census (IBGE). Data version: 2026-10-01. Available at: https://atlas-da-migracao.github.io/en/municipio/sao-manuel-sp-3550100/. Dataset DOI: https://doi.org/10.5281/zenodo.22469791.