Migration in Indiaporã/SP (2017–2022)

Indiaporã/SP had a reference population (aged 5 or over in 2022) of 3,850 people. In the 2017–2022 five-year period, the municipality received 345 in-migrants and lost 355 out-migrants to other municipalities in Brazil, resulting in a net migration of −10 people (−2.27 per 1,000 population) and a migration effectiveness index (IEM) of −0.013. This classifies the municipality, for the period, as one of migratory depletion. In addition, 5 arrived with an unreported origin and 0 came from abroad.

Indicators

Migration indicators for Indiaporã/SP, 2017–2022
Indicator	Estimate	95% CI	Precision
In-migrants	345	242 to 448	use with caution
Out-migrants	355	197 to 513	use with caution
Net migration	−10	−198 to 178	not classified
Net migration rate, TLM (per 1,000 pop.)	−2.27	-	-
Migration effectiveness index (IEM)	−0.013	-	-

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 Indiaporã/SP
Origin	People	Precision
Iturama/MG · view pair in the atlas	40	low precision
São José do Rio Preto/SP · view pair in the atlas	25	low precision
Fernandópolis/SP · view pair in the atlas	25	low precision
Campinas/SP · view pair in the atlas	20	low precision
Macedônia/SP · view pair in the atlas	15	low precision

Top 10 destinations of out-migrants from Indiaporã/SP
Destination	People	Precision
Ouroeste/SP · view pair in the atlas	55	low precision
Populina/SP · view pair in the atlas	30	low precision
Guarani d'Oeste/SP · view pair in the atlas	20	low precision
Mira Estrela/SP · view pair in the atlas	20	low precision

Profile of migrants and residents

In-migrants (arrivals)

Migrant type
Category	Estimate	Share	Sample
Multi-step migration	180	52.2%	50-99
First move from municipality of birth	110	31.9%	20-49
Return to municipality of birth	55	15.9%	5-19

Educational attainment (people aged 25 and over)
Category	Estimate	Share	Sample
No schooling or incomplete elementary	90	40.9%	20-49
Completed high school, incomplete higher education	65	29.5%	20-49
Completed higher education	35	15.9%	5-19
Completed elementary, incomplete high school	30	13.6%	5-19

Household income per capita (in 2022 minimum wages)
Category	Estimate	Share	Sample
½ to 1 minimum wage	110	31.9%	20-49
1 to 2 minimum wages	90	26.1%	20-49
¼ to ½ minimum wage	65	18.8%	20-49
More than 2 minimum wages	55	15.9%	5-19
Up to ¼ of a minimum wage	25	7.2%	5-19

Age and sex
Category	Estimate	Share	Sample
Ages 25–39, female	55	15.7%	5-19
Ages 25–39, male	45	12.9%	5-19
Ages 60 and over, female	40	11.4%	5-19
Ages 15–24, female	40	11.4%	5-19
Ages 40–59, male	35	10.0%	5-19
Ages 5–14, female	30	8.6%	5-19
Ages 5–14, male	30	8.6%	5-19
Ages 40–59, female	30	8.6%	5-19
Ages 60 and over, male	25	7.1%	5-19
Ages 15–24, male	20	5.7%	5-19

Out-migrants (departures)

Migrant type
Category	Estimate	Share	Sample
Multi-step migration	175	49.3%	20-49
First move from municipality of birth	130	36.6%	20-49
Return to municipality of birth	50	14.1%	5-19

Educational attainment (people aged 25 and over)
Category	Estimate	Share	Sample
No schooling or incomplete elementary	95	39.6%	20-49
Completed high school, incomplete higher education	75	31.2%	5-19
Completed higher education	50	20.8%	5-19
Completed elementary, incomplete high school	20	8.3%	5-19

Household income per capita (in 2022 minimum wages)
Category	Estimate	Share	Sample
½ to 1 minimum wage	165	46.5%	20-49
1 to 2 minimum wages	80	22.5%	5-19
¼ to ½ minimum wage	75	21.1%	20-49
Other / suppressed	35	9.9%	5-19

Age and sex
Category	Estimate	Share	Sample
Ages 25–39, female	80	22.5%	5-19
Ages 15–24, female	45	12.7%	5-19
Ages 40–59, female	45	12.7%	5-19
Ages 60 and over, female	40	11.3%	5-19
Ages 25–39, male	35	9.9%	5-19
Ages 5–14, male	30	8.5%	5-19
Ages 60 and over, male	25	7.0%	5-19
Ages 40–59, male	20	5.6%	5-19
Ages 5–14, female	20	5.6%	5-19
Other / suppressed	15	4.2%	<5

Non-migrant residents

Educational attainment (people aged 25 and over)
Category	Estimate	Share	Sample
No schooling or incomplete elementary	1,155	42.2%	100-499
Completed high school, incomplete higher education	750	27.4%	100-499
Completed higher education	435	15.9%	100-499
Completed elementary, incomplete high school	400	14.6%	100-499

Household income per capita (in 2022 minimum wages)
Category	Estimate	Share	Sample
1 to 2 minimum wages	1,245	33.8%	100-499
½ to 1 minimum wage	1,185	32.2%	100-499
¼ to ½ minimum wage	605	16.4%	100-499
More than 2 minimum wages	490	13.3%	100-499
Up to ¼ of a minimum wage	155	4.2%	50-99
Other / suppressed	5	0.1%	<5

Age and sex
Category	Estimate	Share	Sample
Ages 40–59, female	540	15.4%	100-499
Ages 60 and over, female	540	15.4%	100-499
Ages 40–59, male	530	15.1%	100-499
Ages 60 and over, male	475	13.6%	100-499
Ages 25–39, female	335	9.6%	100-499
Ages 25–39, male	320	9.1%	100-499
Ages 5–14, male	210	6.0%	50-99
Ages 5–14, female	200	5.7%	50-99
Ages 15–24, male	190	5.4%	50-99
Ages 15–24, female	165	4.7%	50-99

Commuting (work and study)

Commuting indicators for Indiaporã/SP
Employed persons (aged 10 and over)	1,760
Commute out to work in another municipality	335
Commute in from another municipality to work here	105
Net commuting	−225
Out-commuting rate (%)	18.96
Commuting attraction index	0.849
Median commuting time	40 min

Open Indiaporã/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]: Indiaporã/SP. Data from the 2022 Demographic Census (IBGE). Data version: 2026-10-01. Available at: https://atlas-da-migracao.github.io/en/municipio/indiapora-sp-3520707/. Dataset DOI: https://doi.org/10.5281/zenodo.22469791.