The latest population census in Zimbabwe took place from 21 April to 30 April 2022. The previous one was held 10 years ago as is customary. This time around things was quite different i.e. a digital methodology. They used a Computer Assisted Personal Interview (CAPI) approach. Before, they used a Paper Assisted Personal Interview (PAPI) approach. This significantly increased ZIMSTAT’s data collection and processing efficiency. The preliminary results have come out within just 3 months after the census. There are many things to talk about but today I will just draw some key insights from the results.

Total Population

Males: 7 289 558 (48 percent)

Females: 7 889 421 (52 percent)

TOTAL: 15 178 979

Related Data Points

Population Density: 39 persons per square kilometre.

Given the 2012 population size of 13 061 329.

National Annual Population Growth Rate (2012 – 2022): 1.5 percent.

Population Distribution By Rural And Urban Areas

Rural – 61.4 percent

Urban – 38.6 percent

Population Distribution By Province And Sex

National Average Sex Ratio: 92

ProvinceFemalesMalesSex Ratio
    
Harare1267666115954386
Manicaland107223096553295
Mash West95875793482194
Midlands94124487066497
Mash East89591783526487
Masvingo87500276353793
Mash Central70357868131393
Mat North42743840018898
Mat South38963237071390
Bulawayo35795730798391
    

NB: Sex Ratio refers to the number of males per 100 females.

Population Distribution By Province

ProvincePopulation
  
Harare2 427 209
Manicaland2 037 762
Mash West1 893 578
Midlands1 811 908
Mash East1 731 181
Masvingo1 638 539
Mash Central1 384 891
Mat North827 626
Mat South760 345
Bulawayo665 940
  

Population Distribution By Province

ProvincePercentage
  
Harare16
Manicaland13.4
Mash West12.5
Midlands11.9
Mash East11.4
Masvingo10.8
Mash Central9.1
Mat North5.5
Mat South5
Bulawayo4.4
  

Number Of Households And Average Household Sizes By Province

National Average Household Size: 4.0

ProvinceNumber Of HouseholdsAverage Household Size
   
Harare6535623.7
Manicaland5029454.1
Mash West4668734.1
Midlands4402504.1
Mash East4526773.8
Masvingo3932264.2
Mash Central3379874.1
Mat North1994274.2
Mat South1933283.9
Bulawayo1787173.7
   

Household Distribution By Province

ProvincePercentage
  
Harare17.1
Manicaland13.2
Mash West12.2
Midlands11.5
Mash East11.9
Masvingo10.3
Mash Central8.9
Mat North5.2
Mat South5.1
Bulawayo4.7
  

Annual Population Growth Rates By Province (2012 – 2022)

Population

Province20122022
   
Harare21231322427209
Manicaland17526982037762
Mash West15016561893578
Midlands16149411811908
Mash East13449551731181
Masvingo14850901638539
Mash Central11525201384891
Mat North749017827626
Mat South683893760345
Bulawayo653337665940
   

Growth Rates

ProvincePercentage
  
Harare+1.3
Manicaland+1.5
Mash West+2.3
Midlands+1.2
Mash East+2.5
Masvingo+1
Mash Central+1.8
Mat North+1
Mat South+1.1
Bulawayo+0.2
  

Population Density By Province

ProvincePersons Per Square Kilometre
  
Harare2783
Manicaland56
Mash West33
Midlands37
Mash East54
Masvingo29
Mash Central49
Mat North11
Mat South14
Bulawayo1390
  

These are some of the key highlights from the 2022 population and housing census preliminary results. These preliminary results are the first of several subsequent reports to come. Looking forward to those reports because I understand there were more data points this time. Thus there is a marked increase in the granularity of the data collected this time around. There are more insights we can draw from this census than any study ever will.

The stuff I have shared with you can be used as bases for some interesting discussions. For example, it turns out Bulawayo has the lowest population (by province). I think that is something worth discussing, what are your thoughts? Then we have the population distribution by rural and urban areas. I have already seen several questioning the validity of that data. Some people think that delimitation in those regards needs to be revisited. There are those saying the data is valid and truly there are more people in the rural areas. Then there are those arguing that it is vice versa, kindly share your thoughts in the comments below. There is so much to talk about just by looking at the data.