Food security, all 64 districts

Cropland Flood Exposure

Flood risk is usually counted in people. This page counts it in farmland: how much cropland in each district sits inside the 100-year flood extent. The districts at the top are the haor basin and the northern char belt, where a single early flood can take the Boro rice crop before harvest.

4,656,770

hectares of cropland in the 100-yr floodplain

districts with over 50,000 ha at risk

31.5%

of at-risk cropland in the top 10 districts

districts ranked

Districts by cropland at risk

#	District	Division	Cropland at risk (ha)	Share of national	Floodplain pop %
1	Sunamganj	Sylhet	164,384	3.5%	70%
2	Sylhet	Sylhet	162,181	3.5%	50%
3	Pabna	Rajshahi	147,307	3.2%	86%
4	Comilla	Chittagong	147,218	3.2%	76%
5	Sirajganj	Rajshahi	147,108	3.2%	93%
6	Naogaon	Rajshahi	145,995	3.1%	56%
7	Tangail	Dhaka	145,640	3.1%	75%
8	Netrakona	Dhaka	137,654	3.0%	58%
9	Habiganj	Sylhet	135,971	2.9%	57%
10	Kishoreganj	Dhaka	132,341	2.8%	44%
11	Brahamanbaria	Chittagong	130,529	2.8%	84%
12	Jamalpur	Dhaka	120,477	2.6%	87%
13	Natore	Rajshahi	110,630	2.4%	83%
14	Faridpur	Dhaka	107,716	2.3%	91%
15	Patuakhali	Barisal	104,734	2.2%	86%
16	Gaibandha	Rangpur	103,885	2.2%	84%
17	Bogra	Rajshahi	102,516	2.2%	56%
18	Gopalganj	Dhaka	97,676	2.1%	96%
19	Kurigram	Rangpur	95,363	2.0%	78%
20	Bagerhat	Khulna	93,712	2.0%	94%
21	Khulna	Khulna	86,323	1.9%	44%
22	Kushtia	Khulna	86,107	1.8%	77%
23	Rajshahi	Rajshahi	82,321	1.8%	70%
24	Barisal	Barisal	82,250	1.8%	96%
25	Rangpur	Rangpur	73,048	1.6%	42%
26	Manikganj	Dhaka	73,013	1.6%	94%
27	Barguna	Barisal	72,660	1.6%	96%
28	Mymensingh	Dhaka	71,292	1.5%	19%
29	Maulvibazar	Sylhet	69,888	1.5%	36%
30	Dinajpur	Rangpur	69,770	1.5%	24%
31	Noakhali	Chittagong	68,057	1.5%	84%
32	Jhenaidah	Khulna	67,881	1.5%	49%
33	Magura	Khulna	61,564	1.3%	84%
34	Madaripur	Dhaka	60,685	1.3%	95%
35	Rajbari	Dhaka	59,812	1.3%	91%
36	Narail	Khulna	57,193	1.2%	80%
37	Chandpur	Chittagong	56,921	1.2%	93%
38	Dhaka	Dhaka	56,037	1.2%	45%
39	Jessore	Khulna	54,679	1.2%	22%
40	Sherpur	Dhaka	53,752	1.2%	54%
41	Shariatpur	Dhaka	53,282	1.1%	94%
42	Bhola	Barisal	52,294	1.1%	90%
43	Lalmonirhat	Rangpur	51,488	1.1%	56%
44	Chittagong	Chittagong	50,317	1.1%	22%
45	Pirojpur	Barisal	46,860	1.0%	98%
46	Munshiganj	Dhaka	45,862	1.0%	94%
47	Nawabganj	Rajshahi	45,187	1.0%	61%
48	Nilphamari	Rangpur	45,015	1.0%	32%
49	Lakshmipur	Chittagong	41,665	0.9%	97%
50	Chuadanga	Khulna	36,341	0.8%	46%
51	Meherpur	Khulna	34,563	0.7%	66%
52	Narsingdi	Dhaka	32,098	0.7%	52%
53	Gazipur	Dhaka	31,688	0.7%	27%
54	Feni	Chittagong	29,384	0.6%	78%
55	Jhalokati	Barisal	28,882	0.6%	98%
56	Narayanganj	Dhaka	28,464	0.6%	91%
57	Satkhira	Khulna	28,357	0.6%	24%
58	Joypurhat	Rajshahi	24,512	0.5%	32%
59	Panchagarh	Rangpur	18,187	0.4%	18%
60	Cox's Bazar	Chittagong	14,897	0.3%	17%
61	Rangamati	Chittagong	9,445	0.2%	12%
62	Thakurgaon	Rangpur	5,581	0.1%	3%
63	Khagrachhari	Chittagong	4,411	0.1%	8%
64	Bandarban	Chittagong	1,703	0.0%	5%

Method and sources

Cropland: ESA WorldCover 2021 cropland class intersected with the GloFAS v2.1 100-year river-flood extent, summed by district (FAO GAUL 2015 boundaries). This is modelled exposure of farmland to a design flood, not an annual loss estimate. Related: the exposure atlas (population layers) and the haor flash-flood early warning for the live Boro-harvest view.