Migration in Monte Castelo/SP (2017–2022)

Monte Castelo/SP had a reference population (aged 5 or over in 2022) of 3,970 people. In the 2017–2022 five-year period, the municipality received 550 in-migrants and lost 405 out-migrants to other municipalities in Brazil, resulting in a net migration of +145 people (36.68 per 1,000 population) and a migration effectiveness index (IEM) of 0.152. 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 Monte Castelo/SP, 2017–2022
Indicator	Estimate	95% CI	Precision
In-migrants	550	428 to 672	good
Out-migrants	405	275 to 535	use with caution
Net migration	+145	−34 to 324	not classified
Net migration rate, TLM (per 1,000 pop.)	36.68	-	-
Migration effectiveness index (IEM)	0.152	-	-

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 Monte Castelo/SP
Origin	People	Precision
Ouro Verde/SP · view pair in the atlas	65	low precision
Tupi Paulista/SP · view pair in the atlas	55	low precision
Nova Guataporanga/SP · view pair in the atlas	30	low precision
São Paulo/SP · view pair in the atlas	25	low precision
Panorama/SP · view pair in the atlas	25	low precision
Santa Mercedes/SP · view pair in the atlas	20	low precision
Santa Bárbara d'Oeste/SP · view pair in the atlas	20	low precision

Top 10 destinations of out-migrants from Monte Castelo/SP
Destination	People	Precision
Tupi Paulista/SP · view pair in the atlas	130	use with caution
São João do Pau d'Alho/SP · view pair in the atlas	10	low precision

Profile of migrants and residents

In-migrants (arrivals)

Migrant type
Category	Estimate	Share	Sample
Multi-step migration	290	52.7%	100-499
First move from municipality of birth	170	30.9%	50-99
Return to municipality of birth	90	16.4%	20-49

Educational attainment (people aged 25 and over)
Category	Estimate	Share	Sample
No schooling or incomplete elementary	155	41.9%	50-99
Completed high school, incomplete higher education	130	35.1%	20-49
Completed elementary, incomplete high school	65	17.6%	20-49
Completed higher education	20	5.4%	5-19

Household income per capita (in 2022 minimum wages)
Category	Estimate	Share	Sample
½ to 1 minimum wage	275	49.5%	50-99
1 to 2 minimum wages	120	21.6%	20-49
¼ to ½ minimum wage	115	20.7%	20-49
More than 2 minimum wages	25	4.5%	5-19
Up to ¼ of a minimum wage	20	3.6%	5-19

Age and sex
Category	Estimate	Share	Sample
Ages 25–39, female	90	16.4%	20-49
Ages 40–59, male	85	15.5%	20-49
Ages 25–39, male	70	12.7%	20-49
Ages 15–24, female	60	10.9%	20-49
Ages 40–59, female	55	10.0%	5-19
Ages 5–14, male	50	9.1%	5-19
Ages 5–14, female	40	7.3%	5-19
Ages 15–24, male	35	6.4%	5-19
Ages 60 and over, male	35	6.4%	5-19
Ages 60 and over, female	30	5.5%	5-19

Out-migrants (departures)

Migrant type
Category	Estimate	Share	Sample
Multi-step migration	200	48.8%	20-49
First move from municipality of birth	110	26.8%	5-19
Return to municipality of birth	100	24.4%	5-19

Educational attainment (people aged 25 and over)
Category	Estimate	Share	Sample
Completed high school, incomplete higher education	120	42.1%	5-19
No schooling or incomplete elementary	85	29.8%	5-19
Completed higher education	50	17.5%	5-19
Completed elementary, incomplete high school	30	10.5%	5-19

Household income per capita (in 2022 minimum wages)
Category	Estimate	Share	Sample
1 to 2 minimum wages	160	39.0%	20-49
½ to 1 minimum wage	115	28.0%	20-49
Other / suppressed	50	12.2%	5-19
¼ to ½ minimum wage	45	11.0%	5-19
More than 2 minimum wages	40	9.8%	5-19

Age and sex
Category	Estimate	Share	Sample
Ages 25–39, female	70	17.3%	5-19
Ages 25–39, male	65	16.0%	5-19
Other / suppressed	60	14.8%	5-19
Ages 15–24, female	50	12.3%	5-19
Ages 40–59, male	50	12.3%	5-19
Ages 15–24, male	45	11.1%	5-19
Ages 40–59, female	45	11.1%	5-19
Ages 60 and over, male	20	4.9%	5-19

Non-migrant residents

Educational attainment (people aged 25 and over)
Category	Estimate	Share	Sample
No schooling or incomplete elementary	1,150	44.2%	100-499
Completed high school, incomplete higher education	830	31.9%	100-499
Completed higher education	330	12.7%	100-499
Completed elementary, incomplete high school	290	11.2%	50-99

Household income per capita (in 2022 minimum wages)
Category	Estimate	Share	Sample
½ to 1 minimum wage	1,300	35.5%	100-499
1 to 2 minimum wages	1,250	34.2%	100-499
¼ to ½ minimum wage	530	14.5%	100-499
More than 2 minimum wages	480	13.1%	100-499
Up to ¼ of a minimum wage	100	2.7%	20-49

Age and sex
Category	Estimate	Share	Sample
Ages 40–59, female	535	15.7%	100-499
Ages 40–59, male	500	14.6%	100-499
Ages 60 and over, female	490	14.3%	100-499
Ages 60 and over, male	405	11.9%	100-499
Ages 25–39, male	340	10.0%	100-499
Ages 25–39, female	335	9.8%	100-499
Ages 15–24, male	225	6.6%	50-99
Ages 5–14, male	215	6.3%	50-99
Ages 15–24, female	185	5.4%	50-99
Ages 5–14, female	185	5.4%	50-99

Commuting (work and study)

Commuting indicators for Monte Castelo/SP
Employed persons (aged 10 and over)	1,880
Commute out to work in another municipality	465
Commute in from another municipality to work here	165
Net commuting	−300
Out-commuting rate (%)	24.80
Commuting attraction index	0.757
Median commuting time	30 min

Open Monte Castelo/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]: Monte Castelo/SP. Data from the 2022 Demographic Census (IBGE). Data version: 2026-10-01. Available at: https://atlas-da-migracao.github.io/en/municipio/monte-castelo-sp-3531605/. Dataset DOI: https://doi.org/10.5281/zenodo.22469791.