Migration in Getulina/SP (2017–2022)

Getulina/SP had a reference population (aged 5 or over in 2022) of 9,780 people. In the 2017–2022 five-year period, the municipality received 510 in-migrants and lost 880 out-migrants to other municipalities in Brazil, resulting in a net migration of −370 people (−38.02 per 1,000 population) and a migration effectiveness index (IEM) of −0.268. This classifies the municipality, for the period, as one of migratory depletion.

Indicators

Migration indicators for Getulina/SP, 2017–2022
Indicator	Estimate	95% CI	Precision
In-migrants	510	358 to 662	use with caution
Out-migrants	880	655 to 1,105	good
Net migration	−370	−642 to −98	not classified
Net migration rate, TLM (per 1,000 pop.)	−38.02	-	-
Migration effectiveness index (IEM)	−0.268	-	-

Sample of in-migrants: 50-99 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 Getulina/SP
Origin	People	Precision
Lins/SP · view pair in the atlas	80	low precision
Marília/SP · view pair in the atlas	40	low precision
São Paulo/SP · view pair in the atlas	35	low precision
Queiroz/SP · view pair in the atlas	30	low precision
Promissão/SP · view pair in the atlas	30	low precision
Guaimbê/SP · view pair in the atlas	20	low precision

Top 10 destinations of out-migrants from Getulina/SP
Destination	People	Precision
Lins/SP · view pair in the atlas	100	low precision
Marília/SP · view pair in the atlas	75	low precision
Promissão/SP · view pair in the atlas	60	low precision
Guaiçara/SP · view pair in the atlas	55	low precision
Guaimbê/SP · view pair in the atlas	45	low precision
Serra Azul/SP · view pair in the atlas	40	low precision
Balbinos/SP · view pair in the atlas	15	low precision
Queiroz/SP · view pair in the atlas	15	low precision

Profile of migrants and residents

In-migrants (arrivals)

Migrant type
Category	Estimate	Share	Sample
Multi-step migration	230	45.1%	20-49
First move from municipality of birth	160	31.4%	20-49
Return to municipality of birth	120	23.5%	20-49

Educational attainment (people aged 25 and over)
Category	Estimate	Share	Sample
Completed high school, incomplete higher education	120	42.1%	20-49
No schooling or incomplete elementary	100	35.1%	5-19
Completed elementary, incomplete high school	50	17.5%	5-19
Other / suppressed	15	5.3%	<5

Household income per capita (in 2022 minimum wages)
Category	Estimate	Share	Sample
½ to 1 minimum wage	220	43.6%	20-49
1 to 2 minimum wages	130	25.7%	20-49
¼ to ½ minimum wage	105	20.8%	20-49
Up to ¼ of a minimum wage	25	5.0%	5-19
More than 2 minimum wages	25	5.0%	5-19

Age and sex
Category	Estimate	Share	Sample
Ages 15–24, male	70	13.7%	5-19
Ages 5–14, female	65	12.7%	5-19
Ages 25–39, male	60	11.8%	5-19
Ages 25–39, female	60	11.8%	5-19
Ages 40–59, female	55	10.8%	5-19
Ages 15–24, female	50	9.8%	5-19
Ages 40–59, male	50	9.8%	5-19
Ages 5–14, male	40	7.8%	5-19
Ages 60 and over, female	30	5.9%	5-19
Ages 60 and over, male	30	5.9%	5-19

Out-migrants (departures)

Migrant type
Category	Estimate	Share	Sample
Multi-step migration	520	59.1%	50-99
First move from municipality of birth	260	29.5%	20-49
Return to municipality of birth	100	11.4%	5-19

Educational attainment (people aged 25 and over)
Category	Estimate	Share	Sample
No schooling or incomplete elementary	275	38.5%	20-49
Completed high school, incomplete higher education	200	28.0%	20-49
Completed elementary, incomplete high school	135	18.9%	20-49
Completed higher education	105	14.7%	5-19

Household income per capita (in 2022 minimum wages)
Category	Estimate	Share	Sample
1 to 2 minimum wages	280	32.0%	20-49
Not applicable (collective dwelling)	165	18.9%	20-49
½ to 1 minimum wage	155	17.7%	20-49
More than 2 minimum wages	135	15.4%	5-19
¼ to ½ minimum wage	85	9.7%	5-19
Up to ¼ of a minimum wage	55	6.3%	5-19

Age and sex
Category	Estimate	Share	Sample
Ages 25–39, male	270	30.5%	20-49
Ages 25–39, female	120	13.6%	5-19
Ages 40–59, male	115	13.0%	5-19
Ages 60 and over, male	90	10.2%	5-19
Ages 60 and over, female	75	8.5%	5-19
Ages 5–14, female	55	6.2%	5-19
Ages 40–59, female	45	5.1%	5-19
Ages 15–24, male	45	5.1%	5-19
Ages 15–24, female	40	4.5%	5-19
Ages 5–14, male	30	3.4%	5-19

Non-migrant residents

Educational attainment (people aged 25 and over)
Category	Estimate	Share	Sample
Completed high school, incomplete higher education	2,585	36.3%	>=500
No schooling or incomplete elementary	2,580	36.3%	>=500
Completed elementary, incomplete high school	1,240	17.4%	100-499
Completed higher education	710	10.0%	100-499

Household income per capita (in 2022 minimum wages)
Category	Estimate	Share	Sample
½ to 1 minimum wage	3,010	31.0%	>=500
1 to 2 minimum wages	2,345	24.1%	100-499
¼ to ½ minimum wage	1,705	17.5%	100-499
Not applicable (collective dwelling)	1,265	13.0%	100-499
More than 2 minimum wages	800	8.2%	100-499
Up to ¼ of a minimum wage	595	6.1%	100-499

Age and sex
Category	Estimate	Share	Sample
Ages 25–39, male	1,645	17.7%	100-499
Ages 40–59, male	1,520	16.4%	100-499
Ages 40–59, female	1,230	13.3%	100-499
Ages 60 and over, female	1,015	10.9%	100-499
Ages 60 and over, male	880	9.5%	100-499
Ages 25–39, female	830	8.9%	100-499
Ages 15–24, male	610	6.6%	100-499
Ages 15–24, female	580	6.3%	100-499
Ages 5–14, female	495	5.3%	50-99
Ages 5–14, male	470	5.1%	100-499

Commuting (work and study)

Commuting indicators for Getulina/SP
Employed persons (aged 10 and over)	3,825
Commute out to work in another municipality	985
Commute in from another municipality to work here	425
Net commuting	−560
Out-commuting rate (%)	25.78
Commuting attraction index	0.840
Median commuting time	35 min

Open Getulina/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]: Getulina/SP. Data from the 2022 Demographic Census (IBGE). Data version: 2026-10-01. Available at: https://atlas-da-migracao.github.io/en/municipio/getulina-sp-3517000/. Dataset DOI: https://doi.org/10.5281/zenodo.22469791.