Migration in Ilha das Flores/SE (2017–2022)

Ilha das Flores/SE had a reference population (aged 5 or over in 2022) of 7,655 people. In the 2017–2022 five-year period, the municipality received 470 in-migrants and lost 835 out-migrants to other municipalities in Brazil, resulting in a net migration of −365 people (−47.87 per 1,000 population) and a migration effectiveness index (IEM) of −0.280. This classifies the municipality, for the period, as one of migratory depletion.

Indicators

Migration indicators for Ilha das Flores/SE, 2017–2022
Indicator	Estimate	95% CI	Precision
In-migrants	470	314 to 626	use with caution
Out-migrants	835	441 to 1,229	use with caution
Net migration	−365	−789 to 59	not classified
Net migration rate, TLM (per 1,000 pop.)	−47.87	-	-
Migration effectiveness index (IEM)	−0.280	-	-

Sample of in-migrants: 50-99 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 Ilha das Flores/SE
Origin	People	Precision
Aracaju/SE · view pair in the atlas	90	low precision
Piaçabuçu/AL · view pair in the atlas	60	low precision
Pacatuba/SE · view pair in the atlas	25	low precision
Brejo Grande/SE · view pair in the atlas	25	low precision

Top 10 destinations of out-migrants from Ilha das Flores/SE
Destination	People	Precision
Aracaju/SE · view pair in the atlas	385	low precision
Nossa Senhora do Socorro/SE · view pair in the atlas	85	low precision
Brejo Grande/SE · view pair in the atlas	60	low precision
Barra dos Coqueiros/SE · view pair in the atlas	50	low precision

Profile of migrants and residents

In-migrants (arrivals)

Migrant type
Category	Estimate	Share	Sample
Multi-step migration	170	36.2%	20-49
Return to municipality of birth	165	35.1%	20-49
First move from municipality of birth	135	28.7%	20-49

Educational attainment (people aged 25 and over)
Category	Estimate	Share	Sample
No schooling or incomplete elementary	125	52.1%	20-49
Completed high school, incomplete higher education	80	33.3%	5-19
Completed elementary, incomplete high school	25	10.4%	5-19
Other / suppressed	10	4.2%	<5

Household income per capita (in 2022 minimum wages)
Category	Estimate	Share	Sample
Up to ¼ of a minimum wage	195	41.5%	20-49
¼ to ½ minimum wage	130	27.7%	20-49
½ to 1 minimum wage	120	25.5%	20-49
1 to 2 minimum wages	25	5.3%	5-19

Age and sex
Category	Estimate	Share	Sample
Ages 15–24, female	75	16.0%	5-19
Ages 5–14, male	70	14.9%	5-19
Ages 25–39, male	65	13.8%	5-19
Ages 5–14, female	45	9.6%	5-19
Ages 25–39, female	45	9.6%	5-19
Ages 40–59, female	45	9.6%	5-19
Ages 40–59, male	35	7.4%	5-19
Ages 15–24, male	35	7.4%	5-19
Ages 60 and over, male	35	7.4%	5-19
Other / suppressed	20	4.3%	<5

Out-migrants (departures)

Migrant type
Category	Estimate	Share	Sample
First move from municipality of birth	355	42.3%	20-49
Multi-step migration	255	30.4%	20-49
Return to municipality of birth	230	27.4%	5-19

Educational attainment (people aged 25 and over)
Category	Estimate	Share	Sample
No schooling or incomplete elementary	190	49.4%	5-19
Completed high school, incomplete higher education	120	31.2%	5-19
Completed elementary, incomplete high school	75	19.5%	5-19

Household income per capita (in 2022 minimum wages)
Category	Estimate	Share	Sample
¼ to ½ minimum wage	340	40.5%	20-49
Up to ¼ of a minimum wage	295	35.1%	20-49
½ to 1 minimum wage	175	20.8%	5-19
Other / suppressed	30	3.6%	<5

Age and sex
Category	Estimate	Share	Sample
Ages 25–39, male	205	24.6%	5-19
Ages 5–14, male	170	20.4%	5-19
Ages 25–39, female	120	14.4%	5-19
Ages 15–24, female	120	14.4%	5-19
Ages 5–14, female	80	9.6%	5-19
Ages 15–24, male	75	9.0%	5-19
Other / suppressed	65	7.8%	5-19

Non-migrant residents

Educational attainment (people aged 25 and over)
Category	Estimate	Share	Sample
No schooling or incomplete elementary	2,535	56.3%	100-499
Completed high school, incomplete higher education	1,080	24.0%	100-499
Completed elementary, incomplete high school	610	13.6%	100-499
Completed higher education	275	6.1%	50-99

Household income per capita (in 2022 minimum wages)
Category	Estimate	Share	Sample
Up to ¼ of a minimum wage	3,325	42.4%	>=500
¼ to ½ minimum wage	2,420	30.8%	100-499
½ to 1 minimum wage	1,700	21.7%	100-499
1 to 2 minimum wages	325	4.1%	50-99
More than 2 minimum wages	80	1.0%	5-19

Age and sex
Category	Estimate	Share	Sample
Ages 40–59, female	950	13.2%	100-499
Ages 40–59, male	885	12.3%	100-499
Ages 25–39, female	860	12.0%	100-499
Ages 25–39, male	765	10.6%	100-499
Ages 15–24, male	705	9.8%	100-499
Ages 5–14, male	695	9.7%	100-499
Ages 5–14, female	675	9.4%	100-499
Ages 15–24, female	610	8.5%	100-499
Ages 60 and over, female	580	8.1%	100-499
Ages 60 and over, male	465	6.5%	50-99

Commuting (work and study)

Commuting indicators for Ilha das Flores/SE
Employed persons (aged 10 and over)	1,845
Commute out to work in another municipality	140
Commute in from another municipality to work here	215
Net commuting	+70
Out-commuting rate (%)	7.63
Commuting attraction index	1.036
Median commuting time	40 min

Open Ilha das Flores/SE 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]: Ilha das Flores/SE. Data from the 2022 Demographic Census (IBGE). Data version: 2026-10-01. Available at: https://atlas-da-migracao.github.io/en/municipio/ilha-das-flores-se-2802700/. Dataset DOI: https://doi.org/10.5281/zenodo.22469791.