Migration in Populina/SP (2017–2022)

Populina/SP had a reference population (aged 5 or over in 2022) of 3,945 people. In the 2017–2022 five-year period, the municipality received 300 in-migrants and lost 305 out-migrants to other municipalities in Brazil, resulting in a net migration of −10 people (−2.07 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 5 came from abroad.

Indicators

Migration indicators for Populina/SP, 2017–2022
Indicator	Estimate	95% CI	Precision
In-migrants	300	206 to 394	use with caution
Out-migrants	305	189 to 421	use with caution
Net migration	−10	−159 to 139	not classified
Net migration rate, TLM (per 1,000 pop.)	−2.07	-	-
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 Populina/SP
Origin	People	Precision
Indiaporã/SP · view pair in the atlas	30	low precision
Fernandópolis/SP · view pair in the atlas	25	low precision
São Paulo/SP · view pair in the atlas	15	low precision
Limeira do Oeste/MG · view pair in the atlas	15	low precision

Top 10 destinations of out-migrants from Populina/SP
Destination	People	Precision
Ouroeste/SP · view pair in the atlas	60	low precision
Santa Albertina/SP · view pair in the atlas	25	low precision
Paranapuã/SP · view pair in the atlas	20	low precision
Vitória Brasil/SP · view pair in the atlas	10	low precision
Mesópolis/SP · view pair in the atlas	10	low precision

Profile of migrants and residents

In-migrants (arrivals)

Migrant type
Category	Estimate	Share	Sample
First move from municipality of birth	145	48.3%	20-49
Multi-step migration	125	41.7%	20-49
Return to municipality of birth	30	10.0%	5-19

Educational attainment (people aged 25 and over)
Category	Estimate	Share	Sample
No schooling or incomplete elementary	100	51.3%	20-49
Completed high school, incomplete higher education	50	25.6%	5-19
Completed higher education	25	12.8%	5-19
Completed elementary, incomplete high school	20	10.3%	5-19

Household income per capita (in 2022 minimum wages)
Category	Estimate	Share	Sample
¼ to ½ minimum wage	120	40.7%	20-49
½ to 1 minimum wage	85	28.8%	20-49
1 to 2 minimum wages	50	16.9%	20-49
More than 2 minimum wages	35	11.9%	5-19
Other / suppressed	5	1.7%	<5

Age and sex
Category	Estimate	Share	Sample
Ages 25–39, female	60	19.7%	20-49
Ages 40–59, male	45	14.8%	5-19
Ages 5–14, female	45	14.8%	5-19
Ages 40–59, female	30	9.8%	5-19
Ages 5–14, male	30	9.8%	5-19
Ages 60 and over, male	25	8.2%	5-19
Ages 60 and over, female	20	6.6%	5-19
Ages 15–24, male	20	6.6%	5-19
Ages 25–39, male	20	6.6%	5-19
Other / suppressed	10	3.3%	<5

Out-migrants (departures)

Migrant type
Category	Estimate	Share	Sample
Multi-step migration	175	57.4%	20-49
First move from municipality of birth	110	36.1%	20-49
Return to municipality of birth	20	6.6%	5-19

Educational attainment (people aged 25 and over)
Category	Estimate	Share	Sample
No schooling or incomplete elementary	125	62.5%	20-49
Completed high school, incomplete higher education	35	17.5%	5-19
Completed elementary, incomplete high school	25	12.5%	5-19
Completed higher education	15	7.5%	5-19

Household income per capita (in 2022 minimum wages)
Category	Estimate	Share	Sample
1 to 2 minimum wages	125	40.3%	20-49
½ to 1 minimum wage	85	27.4%	20-49
More than 2 minimum wages	55	17.7%	5-19
¼ to ½ minimum wage	30	9.7%	5-19
Other / suppressed	15	4.8%	<5

Age and sex
Category	Estimate	Share	Sample
Ages 60 and over, male	60	19.0%	5-19
Ages 25–39, male	55	17.5%	5-19
Ages 15–24, female	55	17.5%	5-19
Ages 40–59, female	45	14.3%	5-19
Other / suppressed	40	12.7%	5-19
Ages 15–24, male	30	9.5%	5-19
Ages 40–59, male	20	6.3%	5-19
Ages 5–14, female	10	3.2%	5-19

Non-migrant residents

Educational attainment (people aged 25 and over)
Category	Estimate	Share	Sample
No schooling or incomplete elementary	1,340	48.9%	100-499
Completed high school, incomplete higher education	615	22.4%	100-499
Completed higher education	435	15.9%	100-499
Completed elementary, incomplete high school	350	12.8%	100-499

Household income per capita (in 2022 minimum wages)
Category	Estimate	Share	Sample
½ to 1 minimum wage	1,605	42.0%	>=500
1 to 2 minimum wages	930	24.3%	100-499
¼ to ½ minimum wage	630	16.5%	100-499
More than 2 minimum wages	425	11.1%	100-499
Up to ¼ of a minimum wage	230	6.0%	50-99
Other / suppressed	0	0.0%	<5

Age and sex
Category	Estimate	Share	Sample
Ages 40–59, female	570	15.7%	100-499
Ages 40–59, male	515	14.1%	100-499
Ages 60 and over, female	490	13.5%	100-499
Ages 60 and over, male	460	12.6%	100-499
Ages 25–39, male	375	10.3%	100-499
Ages 25–39, female	330	9.1%	100-499
Ages 15–24, female	230	6.3%	50-99
Ages 5–14, male	225	6.2%	50-99
Ages 15–24, male	225	6.2%	50-99
Ages 5–14, female	220	6.0%	50-99

Commuting (work and study)

Commuting indicators for Populina/SP
Employed persons (aged 10 and over)	1,640
Commute out to work in another municipality	200
Commute in from another municipality to work here	75
Net commuting	−125
Out-commuting rate (%)	12.22
Commuting attraction index	0.911
Median commuting time	30 min

Open Populina/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]: Populina/SP. Data from the 2022 Demographic Census (IBGE). Data version: 2026-10-01. Available at: https://atlas-da-migracao.github.io/en/municipio/populina-sp-3540408/. Dataset DOI: https://doi.org/10.5281/zenodo.22469791.