Migration in Caetés/PE (2017–2022)

Caetés/PE had a reference population (aged 5 or over in 2022) of 26,530 people. In the 2017–2022 five-year period, the municipality received 1,845 in-migrants and lost 1,390 out-migrants to other municipalities in Brazil, resulting in a net migration of +455 people (17.06 per 1,000 population) and a migration effectiveness index (IEM) of 0.140. This classifies the municipality, for the period, as one of migratory attraction.

Indicators

Migration indicators for Caetés/PE, 2017–2022
Indicator	Estimate	95% CI	Precision
In-migrants	1,845	1,432 to 2,258	good
Out-migrants	1,390	981 to 1,799	good
Net migration	+455	−126 to 1,036	not classified
Net migration rate, TLM (per 1,000 pop.)	17.06	-	-
Migration effectiveness index (IEM)	0.140	-	-

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 Caetés/PE
Origin	People	Precision
São Paulo/SP · view pair in the atlas	440	use with caution
Garanhuns/PE · view pair in the atlas	280	low precision
Paranatama/PE · view pair in the atlas	115	low precision
Capoeiras/PE · view pair in the atlas	75	low precision
Barueri/SP · view pair in the atlas	70	low precision
Guarulhos/SP · view pair in the atlas	60	low precision

Top 10 destinations of out-migrants from Caetés/PE
Destination	People	Precision
Garanhuns/PE · view pair in the atlas	275	use with caution
Capoeiras/PE · view pair in the atlas	50	low precision
Jucati/PE · view pair in the atlas	40	low precision
Paranatama/PE · view pair in the atlas	40	low precision

Profile of migrants and residents

In-migrants (arrivals)

Migrant type
Category	Estimate	Share	Sample
Return to municipality of birth	760	41.3%	50-99
First move from municipality of birth	675	36.7%	50-99
Multi-step migration	390	21.2%	20-49
Other / suppressed	15	0.8%	<5

Educational attainment (people aged 25 and over)
Category	Estimate	Share	Sample
No schooling or incomplete elementary	675	56.2%	50-99
Completed high school, incomplete higher education	295	24.6%	20-49
Completed elementary, incomplete high school	195	16.2%	5-19
Other / suppressed	35	2.9%	<5

Household income per capita (in 2022 minimum wages)
Category	Estimate	Share	Sample
Up to ¼ of a minimum wage	705	38.3%	50-99
¼ to ½ minimum wage	460	25.0%	20-49
½ to 1 minimum wage	455	24.7%	20-49
1 to 2 minimum wages	165	9.0%	5-19
More than 2 minimum wages	55	3.0%	5-19

Age and sex
Category	Estimate	Share	Sample
Ages 25–39, male	335	18.1%	20-49
Ages 40–59, male	275	14.9%	20-49
Ages 25–39, female	270	14.6%	20-49
Ages 15–24, female	195	10.5%	5-19
Ages 5–14, female	180	9.7%	5-19
Ages 5–14, male	150	8.1%	5-19
Ages 40–59, female	150	8.1%	5-19
Ages 15–24, male	120	6.5%	5-19
Ages 60 and over, female	105	5.7%	5-19
Ages 60 and over, male	70	3.8%	5-19

Out-migrants (departures)

Migrant type
Category	Estimate	Share	Sample
First move from municipality of birth	845	61.0%	50-99
Multi-step migration	370	26.7%	20-49
Return to municipality of birth	170	12.3%	20-49

Educational attainment (people aged 25 and over)
Category	Estimate	Share	Sample
Completed high school, incomplete higher education	360	43.9%	20-49
No schooling or incomplete elementary	300	36.6%	20-49
Completed elementary, incomplete high school	140	17.1%	5-19
Other / suppressed	20	2.4%	<5

Household income per capita (in 2022 minimum wages)
Category	Estimate	Share	Sample
½ to 1 minimum wage	425	30.6%	20-49
Up to ¼ of a minimum wage	385	27.7%	20-49
¼ to ½ minimum wage	320	23.0%	20-49
1 to 2 minimum wages	260	18.7%	20-49

Age and sex
Category	Estimate	Share	Sample
Ages 25–39, female	265	19.0%	20-49
Ages 25–39, male	235	16.8%	20-49
Ages 15–24, female	230	16.5%	20-49
Ages 15–24, male	165	11.8%	5-19
Ages 40–59, female	140	10.0%	5-19
Ages 5–14, female	100	7.2%	5-19
Ages 5–14, male	85	6.1%	5-19
Ages 40–59, male	85	6.1%	5-19
Ages 60 and over, male	55	3.9%	5-19
Ages 60 and over, female	35	2.5%	5-19

Non-migrant residents

Educational attainment (people aged 25 and over)
Category	Estimate	Share	Sample
No schooling or incomplete elementary	10,930	69.7%	>=500
Completed high school, incomplete higher education	2,430	15.5%	100-499
Completed elementary, incomplete high school	1,475	9.4%	100-499
Completed higher education	845	5.4%	50-99

Household income per capita (in 2022 minimum wages)
Category	Estimate	Share	Sample
Up to ¼ of a minimum wage	9,485	35.1%	>=500
½ to 1 minimum wage	7,825	29.0%	>=500
¼ to ½ minimum wage	7,570	28.1%	>=500
1 to 2 minimum wages	1,580	5.9%	100-499
More than 2 minimum wages	520	1.9%	20-49
Other / suppressed	5	0.0%	<5

Age and sex
Category	Estimate	Share	Sample
Ages 25–39, female	3,090	12.5%	100-499
Ages 40–59, female	3,050	12.4%	100-499
Ages 25–39, male	2,935	11.9%	100-499
Ages 40–59, male	2,815	11.4%	100-499
Ages 5–14, male	2,410	9.8%	100-499
Ages 15–24, male	2,265	9.2%	100-499
Ages 15–24, female	2,170	8.8%	100-499
Ages 5–14, female	2,155	8.7%	100-499
Ages 60 and over, female	2,020	8.2%	100-499
Ages 60 and over, male	1,775	7.2%	100-499

Commuting (work and study)

Commuting indicators for Caetés/PE
Employed persons (aged 10 and over)	9,510
Commute out to work in another municipality	855
Commute in from another municipality to work here	390
Net commuting	−465
Out-commuting rate (%)	9.01
Commuting attraction index	0.923
Median commuting time	30 min

Open Caetés/PE 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]: Caetés/PE. Data from the 2022 Demographic Census (IBGE). Data version: 2026-10-01. Available at: https://atlas-da-migracao.github.io/en/municipio/caetes-pe-2603207/. Dataset DOI: https://doi.org/10.5281/zenodo.22469791.