Land in Zambia · public working evidence

Land is about rights, access and opportunity.

Who can hold land? Who has documents? How concentrated are holdings? Public records answer parts of these questions. Read each finding with its date and coverage, then see what it leaves open.

Start with the distinction

Tenure, nationality, farm size and land use describe different things. They cannot be added into one ownership chart.

Read the evidence both ways

Investment opportunities and security of existing rights belong in the same picture. A finding about one does not settle the other.

Sources reopened 14 October 2026. The observations below span different years; this is not a live land register.

Spatial context · working analysis

Land, people
and access.

Zoom out from individual holdings to the places people live and the routes connecting them. Explore concentration without treating the quieter parts of the map as empty or available land.

Zambia: estimated population, mapped rail and main roadsGreen shading shows 2022 population estimates, aggregated into 2 kilometre cells. Copper dashed lines show mapped rail. The copper-tinted zone shows the selected distance from the chosen network. This is not a map of ownership, migration or available land. Numeric comparisons and a data table follow.LusakaKitweNdolaLivingstoneSolweziKasamaChipataMonguMansaKapiri MposhiChomaNakondeN ↑
Estimated people / km²0–1010–5050–250250–1,0001,000+
Mapped railSelected proximity zone

Zoom changes the view only; the comparison always covers all Zambia. Unshaded areas have no positive population estimate in this display; that says nothing about land rights or availability.

Population: WorldPop / ZamStats, 2022 · CC BY 4.0. Routes and places: © OpenStreetMap contributors · ODbL. Outline: Natural Earth, public domain.

Dates stay visible

Population: 2022, using preliminary census inputs in the 2024 WorldPop release. Transport snapshot: 2026-10-13. The overlay compares different dates; it does not reconstruct past access or show migration.

What would change this reading?

Revised census inputs, missing or misclassified routes, boundary differences or finer-resolution distance analysis would change the shares.

Settlement and infrastructure can develop together. Their proximity alone does not show who moved, why they moved, who owns land, or whether investment caused local pressure.

Sources, calculation and accessible data table

High for source documentation and reproducible arithmetic; mapped estimates and route completeness remain uncertain.

We sum the source population cells into approximately 1 km cells and assign each cell by its centre to a projected straight-line buffer. Routes are simplified with a 100 m tolerance before buffering. The display groups counts into 2 km cells. Distances are approximate. Country-area shares use the population product’s mapped coverage, including inland water—not a legal or usable-land inventory. The Natural Earth outline is for display only.

Denominators in this snapshot: 19,610,769 estimated people and 750,838 km² of grid-covered country area. These are sums of the downloaded product, not a replacement for revised census totals or official land-area statistics.

OpenStreetMap highway=trunk or primary; not all roads and not an official corridor classification. OpenStreetMap railway=rail, excluding service=yard/siding/spur; no construction/proposed/disused/abandoned geometry. Rail presence does not confirm current operations; no proposed corridor is drawn as completed.

Our arithmetic on the dated inputs · percentages share their own national denominator
NetworkDistancePopulation shareCountry-area share
Mapped rail10 km35.6%5.3%
Mapped rail25 km43.9%12.5%
Mapped rail50 km54.6%23.4%
Mapped rail100 km66.7%43.1%
Rail + main roads10 km57.9%17.7%
Rail + main roads25 km73.2%38.8%
Rail + main roads50 km86.0%65.3%
Rail + main roads100 km96.3%94.3%

Download: sources, hashes and calculations (JSON) · mapped transport extract (GeoJSON, ODbL) · display population grid (CSV, CC BY 4.0).

Not mapped: parcel ownership, beneficial ownership, migration flows, land prices, investment amounts and legally available land. Their absence here is a data limit, not evidence of their absence on the ground.

01 · Legal text · 1995 Act · opened consolidation notes a 1996 amendment

Rights are more than a title deed.

The Act vests land in the President on behalf of Zambia’s people and recognises customary holdings. Non-citizens have specified eligibility routes; customary tenure and leasehold are different ways of holding rights.

Tenure
The basis on which rights are held, such as customary tenure or leasehold.
Documentation
Evidence of rights. A formal title, an incomplete title and a customary certificate are not interchangeable.
Use
What happens on land: farming, homes, conservation or other activities. Use does not identify the holder.
Nationality and control
Who holds rights, and who controls a company holding them. A tenure category does not answer this.

Customary rights

Section 7 recognises customary holdings. Absence of a formal title does not itself mean absence of rights.

Non-citizen access

Section 3(3) includes permanent residence, qualifying investment, written presidential consent and inheritance among its routes. Eligibility depends on the applicable conditions.

Conversion safeguards

Sections 3(4) and 8(2) provide consultation and approval requirements involving chiefs, local authorities and affected interests.

Lease length

The ordinary ceiling in section 3(6) is 99 years, with a specified exception. It does not say every title has that term.

Current-law check still needed. Later amendments, related legislation and the facts of a particular parcel would need legal review before relying on this for a transaction. This page supplies no transaction templates.

Parliament of Zambia · Sections 3, 7 and 8 ↗

Coverage: A reading of the opened consolidation, not confirmation of the full law in force today or advice for a transaction.

Confidence and what would change this reading
Confidence
High for the cited text; current legal completeness unverified.
We would need to revise it if
Later legislation, judgments or applicable regulations that change the reading would require revision.
Another explanation or limit
Rules on paper do not establish how consistently rights or safeguards are enforced.
Source check
Opened 2026-10-14 · LD01. Verification of the cited material does not make it a current national census.
02 · Two records, two different units
Nationality and control

What can we say about foreign-held land?

A record of large international agricultural deals

Deal database · 1 February 2016

26concluded deals recorded
389,774 haunder contract in those deals

Signed contracts: 24 deals / 383,784 ha. Oral agreements: 2 / 5,990 ha.

The often-cited 390,074 ha includes 300 ha in a cancelled contract. The profile’s 1.6% uses agricultural land, not arable land, as its denominator.

Land Matrix · Pages 1 and 3, Table 2 ↗

Coverage: Deals of at least 200 ha, initiated since 2000, involving land-use change. Mining and forestry are excluded. This dated inventory omits many kinds of holdings and is not a national ownership census.

Confidence and what would change this reading
Confidence
High for the profile’s table; incomplete coverage of foreign-held land.
We would need to revise it if
A correction to the source table or a differently filtered dataset would change these totals. A new snapshot must not silently replace this one.
Another explanation or limit
A small national total could coexist with substantial effects in particular communities; contracted hectares do not establish local impact.
Source check
Opened 2026-10-14 · LD02. Verification of the cited material does not make it a current national census.
Ministerial statement · 2014–2019 · reported 23 April 2021
Nationality and control

People receiving titles are not hectares held.

Minister Jean Kapata reported annual counts of foreign nationals who acquired land and obtained title deeds. She said most foreigners bought from individual Zambians on the open market.

Foreign nationals reported to have acquired land and obtained title deeds, by year
Read the annual counts as a table
YearPeople reported
201432
201557
201681
201769
201891
201985

Benefits described

The Minister cited technology, capital and local employment as benefits.

Harms acknowledged

She also acknowledged displacement and inadequate compensation in some cases.

To assess results, we would need project-level employment, investment, consent, displacement and compensation records. Her statement does not quantify a net benefit or harm.

National Assembly of Zambia · Question 168, Minister of Lands and Natural Resources ↗

Coverage: Annual reported counts of people, not parcels, hectares or distinct people across all years. They do not measure the national stock of foreign-held land.

Confidence and what would change this reading
Confidence
High that this was stated in Parliament; underlying transactions not independently audited here.
We would need to revise it if
A correction to Hansard or underlying administrative records could change the counts and their interpretation.
Another explanation or limit
These counts can coexist with larger company holdings and unmeasured secondary transactions.
Source check
Opened 2026-10-14 · LD03. Verification of the cited material does not make it a current national census.
03 · Survey research · 2014 data · published 2015

Holdings were concentrated within the surveyed farm sector.

Farms holding 5–100 ha accounted for about 18% of farms and 57.8% of land in the survey-covered small and medium farm sector.

Same five holding-size groups. Two denominators: number of farms and their land.
0–2 ha
2–5 ha
5–10 ha
10–20 ha
20–100 ha

Each column totals 100% before rounding; bars use the same 0–100% scale. Farm shares are our arithmetic from 1,458,310 farms in the listed bands. Land shares are the study’s table values.

The five counts sum to 1,458,310, but the table prints a total of 1,460,324. Our farm shares use the sum of the listed bands; the source total would need reconciling against the underlying data.

Counts behind the farm shares
Holding sizeEstimated farms
0–2 ha762,685
2–5 ha434,035
5–10 ha176,533
10–20 ha65,737
20–100 ha19,320

The study also finds clustering around market and transport corridors. That helps explain why local access pressure can matter even where national land totals look large; its spatial correlations do not prove causation.

Sitko and Chamberlin, Land · Methods and Table 2, 2014 columns ↗

Coverage: The sampling frame covers households cultivating under 20 ha, even when holdings are larger. It excludes wholly idle owners and may miss urban-resident owners. These are not shares of Zambia’s territory or nationality groups.

Confidence and what would change this reading
Confidence
High for transcription; the printed farm total conflicts with the row sum. Extrapolation beyond the survey frame is not supported.
We would need to revise it if
A revised table or a broader, comparable survey would change this reading. National shares require a different denominator and coverage.
Another explanation or limit
Concentration can reflect productive expansion or unequal access; these size shares alone cannot distinguish them.
Source check
Opened 2026-10-14 · LD04. Verification of the cited material does not make it a current national census.
04 · Survey research · 2017/18 survey · published June 2019
Documentation

Documentation and security are different questions.

The paper reports limited formal documentation, demand for title among some untitled owners, and perceived insecurity. Each measure answers a different question.

Have a formal title

10.9%

Land-owning households in the analysis

Have some document

31.4%

Land-owning households; includes different document types

Would like a title

54.3%

Among those without title

Perceive tenure insecurity

42.8%

Reported risk of losing land within five years; not observed losses

We use the weighted Table 2 values. The paper’s introduction uses different rounded figures; those would need reconciling before combining them. These measures overlap and must not be stacked into one pie.

World Bank · Methods and Table 2, printed page 22 ↗

Coverage: Weighted estimates for the paper’s land-owning-household analysis: 4,888 responding households, with weights adjusted for nonresponse. Households renting or in employer housing with no other land are excluded. These are household measures, not shares of national hectares.

Confidence and what would change this reading
Confidence
High for Table 2 transcription; survey and nonresponse limitations remain.
We would need to revise it if
Revised survey weights, corrected classifications or a newer comparable survey would change the reading.
Another explanation or limit
Formal documents may help, but demand, cost, customary security and whose name appears on a document also matter. Association does not establish a universal causal benefit.
Source check
Opened 2026-10-14 · LD05. Verification of the cited material does not make it a current national census.
05 · Government policy · May 2021
Tenure

History and policy commitments are not present-day outcomes.

The policy places the familiar 94% customary / 6% state split at independence and says conversion has since changed it. It also sets inclusion goals for allocating land.

Policy target · achievement unverified

Women

50%

Policy target: share of land available for alienation to be allocated

Policy target · achievement unverified

Youths

20%

Policy target: share of land available for alienation to be allocated

We would need allocations by sex, age, location and area, plus evidence of retained rights. Women and youths can overlap; the targets are not additive shares of the country.

Ministry of Lands and Natural Resources, via FAOLEX · Historical background and Objective 8 ↗

Coverage: Historical estimates and policy commitments, not a current land inventory or evidence that allocation goals have been achieved.

Confidence and what would change this reading
Confidence
High for what the policy says; implementation and today’s tenure shares unverified.
We would need to revise it if
An updated, comparable tenure inventory or disaggregated allocation records would replace the historical benchmark and test delivery.
Another explanation or limit
Allocation targets alone cannot show who controls, uses or retains land after allocation.
Source check
Opened 2026-10-14 · LD06. Verification of the cited material does not make it a current national census.
06 · Crop evidence snapshot 2026-10-09 · arithmetic, not a forecast
Use

Production targets also imply hectares.

These calculations connect land to the crop targets. They do not identify available land, settle existing rights or establish how much new land could be opened.

Maize
3.85 million ha2025/26 forecast, harvested hectares (USDA, citing the Ministry)
Soya beans
2.38 million ha2023 record crop, FAOSTAT-derived, harvested hectares
Wheat
141,046 ha2023/24 harvest, Ministry figures

Fixed reference: implied hectares at each crop page’s baseline yield. The explorer below also shows alternative source rows and your yield assumption.

A harvest is area × yield, so a tonnage target is also a claim on land. Each bar shows the area a target would need if yields stayed where they were recorded. Raise the yields to see how much land that would save.

Reading hectares: 1 ha is 2.47 acres, or about 13 plots of 30 m × 25 m. One million hectares is 10,000 km².

Maize

Target 10 million tverification caveatInspect the target →
2025/26 forecast, harvested hectares (USDA, citing the Ministry)
Recorded reference area at
At 2.60 t/ha the target needs
3.85 million ha
2.0× this row’s reference area

What would change this calculation: A revised harvested-area or yield forecast, or a different season or hectare definition, would change the implied area. This is not a measure of land available for expansion.

Soya beans

Target 3 million tverification incompleteInspect the target →
2023 record crop, FAOSTAT-derived, harvested hectares
Calculated reference area at
Our arithmetic: area = tonnes ÷ yield
At 1.26 t/ha the target needs
2.38 million ha
3.9× this row’s reference area
2024/25 Ministry forecast, probably planted hectares
Calculated reference area at
Our arithmetic: area = forecast tonnes ÷ yield
At 0.98 t/ha the target needs
3.06 million ha
10.4× this row’s reference area

What would change this calculation: The FAOSTAT-derived row and the Ministry forecast use different seasons and potentially different area definitions. The Ministry area is inferred from forecast tonnes and yield, not directly reported here; a confirmed planted/harvested basis would change its interpretation.

Wheat

Target 1 million tverification caveatInspect the target →
2023/24 harvest, Ministry figures
Recorded reference area at
Our arithmetic: yield = tonnes ÷ area
At 7.09 t/ha the target needs
141,046 ha
5.0× this row’s reference area
2024/25 Ministry forecast
Recorded reference area at
Our arithmetic: yield = forecast tonnes ÷ area
At 7.27 t/ha the target needs
137,599 ha
7.7× this row’s reference area

What would change this calculation: A revision to reported hectares or forecast tonnes would change the derived yield and implied area. The irrigated share and whether hectares can be reused across seasons would need checking before interpreting this as new land demand.

  • reference area (recorded or calculated as labelled)
  • area the target needs at the assumed yield
  • One scale for every bar.
Inputs and sources (10 records)
CropInputValueAs ofSourceTag
Maizekha area harvested1,9002025/26GAIN ZA2026-0001 Zambia's Record Corn Production
secondary · CR:S8
L
Maizeyield per harvested hectare2.6 t/ha2025/26GAIN ZA2026-0001 Zambia's Record Corn Production
secondary · CR:S8
L
Soya beanst soybeans, harvest year 2023 (2022/23 season)760,0672023Soybean production CSV
secondary · CR:S29
L
Soya beansyield, harvest year 2023 (the record crop; 1.08 t/ha in 2024)1.26 t/ha2023Soybean yields CSV
secondary · CR:S30
L
Soya beanst, 2024/25 forecast (yield 0.98 t/ha, up from 169,700 t at 0.45 t/ha)288,793.172024/25Ministerial Statement, 2024/25 crop yield
primary · CR:S10
V
Soya beansyield, 2024/25 forecast0.98 t/ha2024/25Ministerial Statement, 2024/25 crop yield
primary · CR:S10
V
Wheatt wheat, 2023/24 (the 2024 harvest the wheat page's pace starts from)198,8862023/24Ministerial Statement, 2024/25 crop yield
primary · CR:S10
V
Wheatha wheat area, 2023/2428,0522023/24Ministerial Statement, 2024/25 crop yield
primary · CR:S10
V
Wheatt, 2024/25 forecast; area 17,822.28 ha; down from 198,886 t on 28,052 ha129,523.512024/25Ministerial Statement, 2024/25 crop yield
primary · CR:S10
V
Wheatha wheat area, 2024/25 forecast17,822.282024/25Ministerial Statement, 2024/25 crop yield
primary · CR:S10
V
  • Targets come from the target pages. Every area and yield comes from the audit records listed above; where a source gives two of tonnes, area and yield, the third is our arithmetic, marked on the row. A crop's first row is the baseline its target page starts from.
  • Where sources measure different hectares (planted or harvested) or different seasons, each gets its own row and is compared only with itself. Rows are never averaged.
  • The multiple compares required area with this row’s fixed reference area. A 2× result means meeting the target on that reference area would require twice the assumed yield shown in the row.
  • The rows are not added up. Crops can share land across seasons, and the irrigated share of wheat is not in the evidence. Required hectares are not automatically new land.
Irrigation audit C2 · snapshot 2026-10-09

Irrigated land: one target, two baselines.

reconciliation pending
Reported irrigated
24 May 2022 (cites GRZ 2013) · Zambia Growth Opportunities Program technical assessment
155,000 ha
Reported irrigated
2 May 2026 (source year not given) · Project Information Document P514111 (ISAT)
250,000 ha

New irrigation needed by 2031, our arithmetic (D):
250,000 / 345,000 / 500,000 ha
from the 250k baseline (total reading) / from the 155k baseline / under the 'additional' reading

  • Total vs additional: 'to reach 500,000 ha by 2031' (World Bank, PDU) vs 'an additional 500,000 ha' (MoA, May 2026).
  • The 'farm blocks' (Shikabeta about 36,900 ha, Luena 186,000, Kalumwange about 159,800, Kalungwishi about 202,927) are land areas, not irrigated areas.

What would change it: An MoA or FAO AQUASTAT figure with a definition.

The baselines use different definitions and are not a time series. Wheat’s irrigated share would need checking before comparing its hectares with these totals. Inspect every irrigation record →

07 · Open evidence questions

What would we need to establish next?

Who holds land today, and where?
We would need current, comparable parcel and beneficial-ownership records, including customary coverage. Nationality, tenure and protected-area overlays would need separate treatment.
Who benefits from investment, and who bears costs?
We would need measured jobs, output and infrastructure alongside consent, displacement, compensation and livelihood outcomes, by project and community.
Are rights secure in practice?
We would need current evidence on disputes, documentation, inheritance and women’s and young people’s control of land—not just allocation targets or title counts.
How much suitable land is available for new uses?
We would need dated definitions of agricultural, arable, cultivated and irrigated land, plus existing use rights, water access and environmental constraints. Uncultivated land is not automatically available.
What about livestock, mining, tourism and sugar?
We would need target-linked grazing, licence, protected-area and national cane-area evidence. Crop hectares cannot stand in for these different land uses.

The wider source check is a completed first pass, not blanket validation. The six reopened land-evidence sources have a separate curation record; the spatial context and crop inputs carry their own sources. Unsupported ownership percentages, nationality-based allegations, speculative returns and legal templates have not been adopted.

Public evidence can support careful questions without assigning intent or fault. Send a correction or a better source →