Migration in Aspásia/SP (2017–2022)

Aspásia/SP had a reference population (aged 5 or over in 2022) of 1,740 people. In the 2017–2022 five-year period, the municipality received 230 in-migrants and lost 225 out-migrants to other municipalities in Brazil, resulting in a net migration of +5 people (3.04 per 1,000 population) and a migration effectiveness index (IEM) of 0.012. This classifies the municipality, for the period, as one of migratory attraction. In addition, 5 arrived with an unreported origin and 0 came from abroad.

Indicators

Migration indicators for Aspásia/SP, 2017–2022
Indicator	Estimate	95% CI	Precision
In-migrants	230	158 to 302	use with caution
Out-migrants	225	128 to 322	use with caution
Net migration	+5	−116 to 126	not classified
Net migration rate, TLM (per 1,000 pop.)	3.04	-	-
Migration effectiveness index (IEM)	0.012	-	-

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 Aspásia/SP
Origin	People	Precision
Santa Fé do Sul/SP · view pair in the atlas	25	low precision
São Paulo/SP · view pair in the atlas	25	low precision
Urânia/SP · view pair in the atlas	20	low precision
Jales/SP · view pair in the atlas	20	low precision
Americana/SP · view pair in the atlas	15	low precision
Santa Albertina/SP · view pair in the atlas	10	low precision

Top 10 destinations of out-migrants from Aspásia/SP
Destination	People	Precision
Urânia/SP · view pair in the atlas	65	low precision
Santa Albertina/SP · view pair in the atlas	35	low precision
Santa Salete/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	115	50.0%	50-99
First move from municipality of birth	105	45.7%	50-99
Return to municipality of birth	10	4.3%	5-19

Educational attainment (people aged 25 and over)
Category	Estimate	Share	Sample
No schooling or incomplete elementary	75	50.0%	20-49
Completed high school, incomplete higher education	35	23.3%	5-19
Completed elementary, incomplete high school	25	16.7%	5-19
Completed higher education	15	10.0%	5-19

Household income per capita (in 2022 minimum wages)
Category	Estimate	Share	Sample
1 to 2 minimum wages	105	46.7%	20-49
½ to 1 minimum wage	65	28.9%	20-49
¼ to ½ minimum wage	50	22.2%	20-49
Other / suppressed	5	2.2%	<5

Age and sex
Category	Estimate	Share	Sample
Ages 40–59, male	40	17.8%	20-49
Ages 5–14, male	30	13.3%	5-19
Ages 40–59, female	30	13.3%	5-19
Ages 25–39, female	25	11.1%	5-19
Ages 25–39, male	25	11.1%	5-19
Ages 60 and over, male	20	8.9%	5-19
Ages 15–24, female	15	6.7%	5-19
Ages 60 and over, female	15	6.7%	5-19
Ages 5–14, female	15	6.7%	5-19
Ages 15–24, male	10	4.4%	5-19

Out-migrants (departures)

Migrant type
Category	Estimate	Share	Sample
Multi-step migration	165	75.0%	20-49
First move from municipality of birth	30	13.6%	5-19
Return to municipality of birth	25	11.4%	5-19

Educational attainment (people aged 25 and over)
Category	Estimate	Share	Sample
No schooling or incomplete elementary	40	30.8%	5-19
Completed high school, incomplete higher education	35	26.9%	5-19
Completed elementary, incomplete high school	30	23.1%	5-19
Completed higher education	25	19.2%	5-19

Household income per capita (in 2022 minimum wages)
Category	Estimate	Share	Sample
1 to 2 minimum wages	95	42.2%	5-19
½ to 1 minimum wage	85	37.8%	20-49
More than 2 minimum wages	25	11.1%	5-19
¼ to ½ minimum wage	20	8.9%	5-19

Age and sex
Category	Estimate	Share	Sample
Ages 25–39, female	45	20.0%	5-19
Ages 15–24, female	45	20.0%	5-19
Ages 40–59, male	35	15.6%	5-19
Ages 40–59, female	30	13.3%	5-19
Ages 15–24, male	20	8.9%	5-19
Ages 25–39, male	20	8.9%	5-19
Other / suppressed	15	6.7%	5-19
Ages 5–14, male	15	6.7%	5-19

Non-migrant residents

Educational attainment (people aged 25 and over)
Category	Estimate	Share	Sample
No schooling or incomplete elementary	580	50.0%	100-499
Completed high school, incomplete higher education	265	22.8%	100-499
Completed higher education	185	15.9%	50-99
Completed elementary, incomplete high school	130	11.2%	50-99

Household income per capita (in 2022 minimum wages)
Category	Estimate	Share	Sample
½ to 1 minimum wage	640	39.8%	100-499
1 to 2 minimum wages	500	31.1%	100-499
¼ to ½ minimum wage	225	14.0%	100-499
More than 2 minimum wages	180	11.2%	50-99
Up to ¼ of a minimum wage	65	4.0%	20-49

Age and sex
Category	Estimate	Share	Sample
Ages 40–59, female	255	16.9%	100-499
Ages 40–59, male	225	15.0%	100-499
Ages 60 and over, female	200	13.3%	50-99
Ages 60 and over, male	200	13.3%	50-99
Ages 25–39, female	145	9.6%	50-99
Ages 25–39, male	130	8.6%	50-99
Ages 15–24, male	90	6.0%	20-49
Ages 15–24, female	90	6.0%	20-49
Ages 5–14, female	85	5.6%	20-49
Ages 5–14, male	85	5.6%	20-49

Commuting (work and study)

Commuting indicators for Aspásia/SP
Employed persons (aged 10 and over)	790
Commute out to work in another municipality	225
Commute in from another municipality to work here	130
Net commuting	−95
Out-commuting rate (%)	28.64
Commuting attraction index	0.826
Median commuting time	30 min

Open Aspásia/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]: Aspásia/SP. Data from the 2022 Demographic Census (IBGE). Data version: 2026-10-01. Available at: https://atlas-da-migracao.github.io/en/municipio/aspasia-sp-3503950/. Dataset DOI: https://doi.org/10.5281/zenodo.22469791.