Migration in Campo Grande/MS (2017–2022)

Campo Grande/MS had a reference population (aged 5 or over in 2022) of 838,325 people. In the 2017–2022 five-year period, the municipality received 51,955 in-migrants and lost 48,355 out-migrants to other municipalities in Brazil, resulting in a net migration of +3,595 people (4.29 per 1,000 population) and a migration effectiveness index (IEM) of 0.036. This classifies the municipality, for the period, as one of migratory attraction. In addition, 510 arrived with an unreported origin and 2,085 came from abroad.

Indicators

Migration indicators for Campo Grande/MS, 2017–2022
Indicator	Estimate	95% CI	Precision
In-migrants	51,955	48,738 to 55,172	good
Out-migrants	48,355	46,071 to 50,639	good
Net migration	+3,595	−350 to 7,540	not classified
Net migration rate, TLM (per 1,000 pop.)	4.29	-	-
Migration effectiveness index (IEM)	0.036	-	-

Sample of in-migrants: >=500 observations. Sample of out-migrants: >=500 observations. 95% confidence interval computed as estimate ± 1.96 × standard error.

Top origins and destinations

Top 10 origins of in-migrants to Campo Grande/MS
Origin	People	Precision
Corumbá/MS · view pair in the atlas	4,005	good
Dourados/MS · view pair in the atlas	2,335	use with caution
São Paulo/SP · view pair in the atlas	2,180	good
Aquidauana/MS · view pair in the atlas	1,605	use with caution
Ponta Porã/MS · view pair in the atlas	1,600	use with caution
Rio de Janeiro/RJ · view pair in the atlas	1,395	use with caution
Sidrolândia/MS · view pair in the atlas	1,085	use with caution
Cuiabá/MT · view pair in the atlas	945	use with caution
Jardim/MS · view pair in the atlas	830	use with caution
Coxim/MS · view pair in the atlas	815	use with caution

Top 10 destinations of out-migrants from Campo Grande/MS
Destination	People	Precision
Dourados/MS · view pair in the atlas	1,820	good
Sidrolândia/MS · view pair in the atlas	1,290	good
Corumbá/MS · view pair in the atlas	1,095	good
Florianópolis/SC · view pair in the atlas	1,070	use with caution
Brasília/DF · view pair in the atlas	1,070	use with caution
São Paulo/SP · view pair in the atlas	1,000	use with caution
Três Lagoas/MS · view pair in the atlas	950	use with caution
Aquidauana/MS · view pair in the atlas	940	good
Terenos/MS · view pair in the atlas	885	use with caution
São Gabriel do Oeste/MS · view pair in the atlas	870	use with caution

Profile of migrants and residents

In-migrants (arrivals)

Migrant type
Category	Estimate	Share	Sample
First move from municipality of birth	24,395	47.0%	>=500
Multi-step migration	19,675	37.9%	>=500
Return to municipality of birth	7,535	14.5%	100-499
Born abroad, internal migrant	350	0.7%	5-19

Educational attainment (people aged 25 and over)
Category	Estimate	Share	Sample
Completed higher education	11,355	34.8%	>=500
Completed high school, incomplete higher education	10,180	31.2%	>=500
No schooling or incomplete elementary	7,045	21.6%	100-499
Completed elementary, incomplete high school	4,085	12.5%	100-499

Household income per capita (in 2022 minimum wages)
Category	Estimate	Share	Sample
More than 2 minimum wages	15,215	29.3%	>=500
1 to 2 minimum wages	12,660	24.4%	>=500
½ to 1 minimum wage	12,180	23.4%	>=500
¼ to ½ minimum wage	5,970	11.5%	100-499
Up to ¼ of a minimum wage	4,290	8.3%	100-499
Not applicable (collective dwelling)	1,640	3.2%	100-499

Age and sex
Category	Estimate	Share	Sample
Ages 25–39, male	8,850	17.0%	100-499
Ages 25–39, female	8,530	16.4%	100-499
Ages 15–24, male	5,640	10.9%	100-499
Ages 40–59, male	5,580	10.7%	100-499
Ages 40–59, female	5,355	10.3%	100-499
Ages 15–24, female	5,330	10.3%	100-499
Ages 5–14, male	4,215	8.1%	100-499
Ages 5–14, female	4,070	7.8%	100-499
Ages 60 and over, female	2,345	4.5%	100-499
Ages 60 and over, male	1,995	3.8%	100-499
Other / suppressed	40	0.1%	5-19

Out-migrants (departures)

Migrant type
Category	Estimate	Share	Sample
Multi-step migration	20,700	42.8%	>=500
First move from municipality of birth	20,255	41.9%	>=500
Return to municipality of birth	7,040	14.6%	>=500
Born abroad, internal migrant	365	0.8%	20-49

Educational attainment (people aged 25 and over)
Category	Estimate	Share	Sample
Completed higher education	12,250	37.7%	>=500
Completed high school, incomplete higher education	10,155	31.3%	>=500
No schooling or incomplete elementary	6,235	19.2%	>=500
Completed elementary, incomplete high school	3,815	11.8%	>=500

Household income per capita (in 2022 minimum wages)
Category	Estimate	Share	Sample
More than 2 minimum wages	15,050	31.1%	>=500
1 to 2 minimum wages	12,910	26.7%	>=500
½ to 1 minimum wage	11,140	23.0%	>=500
¼ to ½ minimum wage	5,405	11.2%	>=500
Up to ¼ of a minimum wage	3,400	7.0%	100-499
Not applicable (collective dwelling)	450	0.9%	50-99

Age and sex
Category	Estimate	Share	Sample
Ages 25–39, female	8,555	17.7%	>=500
Ages 25–39, male	8,120	16.8%	>=500
Ages 40–59, male	5,855	12.1%	>=500
Ages 40–59, female	5,480	11.3%	>=500
Ages 5–14, male	4,270	8.8%	100-499
Ages 15–24, female	4,050	8.4%	100-499
Ages 5–14, female	4,015	8.3%	100-499
Ages 15–24, male	3,565	7.4%	100-499
Ages 60 and over, male	2,235	4.6%	100-499
Ages 60 and over, female	2,215	4.6%	100-499
Other / suppressed	0	0.0%	<5

Non-migrant residents

Educational attainment (people aged 25 and over)
Category	Estimate	Share	Sample
Completed high school, incomplete higher education	177,080	32.0%	>=500
No schooling or incomplete elementary	148,805	26.9%	>=500
Completed higher education	145,020	26.2%	>=500
Completed elementary, incomplete high school	82,345	14.9%	>=500

Household income per capita (in 2022 minimum wages)
Category	Estimate	Share	Sample
½ to 1 minimum wage	231,565	27.5%	>=500
1 to 2 minimum wages	229,810	27.2%	>=500
More than 2 minimum wages	192,965	22.9%	>=500
¼ to ½ minimum wage	115,650	13.7%	>=500
Up to ¼ of a minimum wage	68,845	8.2%	>=500
Not applicable (collective dwelling)	4,710	0.6%	100-499

Age and sex
Category	Estimate	Share	Sample
Ages 40–59, female	121,605	15.5%	>=500
Ages 40–59, male	104,115	13.3%	>=500
Ages 25–39, female	100,515	12.8%	>=500
Ages 25–39, male	96,120	12.3%	>=500
Ages 60 and over, female	74,925	9.6%	>=500
Ages 5–14, male	59,325	7.6%	>=500
Ages 5–14, female	57,265	7.3%	>=500
Ages 15–24, male	57,255	7.3%	>=500
Ages 15–24, female	56,515	7.2%	>=500
Ages 60 and over, male	55,765	7.1%	>=500
Other / suppressed	275	0.0%	5-19
Ages 25–39, sex undetermined	100	0.0%	5-19

Commuting (work and study)

Commuting indicators for Campo Grande/MS
Employed persons (aged 10 and over)	427,380
Commute out to work in another municipality	6,905
Commute in from another municipality to work here	4,685
Net commuting	−2,220
Out-commuting rate (%)	1.62
Commuting attraction index	0.959
Median commuting time	60 min

Open Campo Grande/MS 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]: Campo Grande/MS. Data from the 2022 Demographic Census (IBGE). Data version: 2026-10-01. Available at: https://atlas-da-migracao.github.io/en/municipio/campo-grande-ms-5002704/. Dataset DOI: https://doi.org/10.5281/zenodo.22469791.