{"geometry": {"type": "MultiPolygon", "coordinates": [[[[92.60082, 21.98222], [92.61804, 21.46999], [92.26193, 21.05431], [92.04804, 21.165], [91.70444, 22.48055], [91.45583, 22.79], [90.94595, 22.58027], [90.20248, 21.80298], [89.20745, 21.65218], [89.06301, 22.11547], [88.78637, 23.45083], [88.7019, 24.30618], [88.04387, 24.6852], [88.48304, 25.19972], [88.55664, 25.50472], [88.09553, 25.91527], [88.48168, 26.46025], [89.34277, 26.01703], [89.82998, 25.99916], [89.8163, 25.36604], [90.38333, 25.15416], [92.03888, 25.1875], [92.33249, 25.07944], [92.1172, 24.39], [91.88258, 24.15156], [91.38198, 24.10514], [91.16193, 23.63152], [91.61151, 22.94458], [91.84498, 23.41027], [92.28942, 23.69277], [92.60082, 21.98222]]]]}, "type": "Feature", "properties": {"url": "/group/bgd", "name": "Bangladesh"}, "id": "BGD"}
299
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100+ Downloads
Time Period of the Dataset [?]: June 07, 2018-June 07, 2018
... More
Modified [?]: 11 June 2018
Dataset Added on HDX [?]: 3 December 2017
This dataset updates: Every three months
This shapefile contains the roads of Kutupalong-Balukhali Rohingya refugee sites including vehicle road, main path, footpath, military constructed Road and Planned roads.
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1500+ Downloads
Time Period of the Dataset [?]: May 01, 2018-May 20, 2018
... More
Modified [?]: 6 June 2018
Dataset Added on HDX [?]: 28 May 2018
This dataset updates: Never
NPM Bangladesh has produced a number of tools based on its regular data collection activities and drone flights.
The package of May 2018 is based on NPM Site Assessment 10 (as of 20 May) and NPM drone imagery (as of 23 May).
Here below, the complete package by camp:
SW Map package
KMZ file
Drone image
The full image and shapefiles are available at this link.
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1500+ Downloads
Time Period of the Dataset [?]: June 03, 2018-June 03, 2018
... More
Modified [?]: 4 June 2018
Dataset Added on HDX [?]: 15 February 2018
This dataset updates: Every month
This data set contains the location of Camp in Charge (CiC) office in the Rohingya Refugee camps situated in Ukhia and Teknaf Upazila, Cox's Bazar.
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1600+ Downloads
Time Period of the Dataset [?]: April 01, 2018-April 24, 2018
... More
Modified [?]: 27 May 2018
Dataset Added on HDX [?]: 13 May 2018
This dataset updates: Never
NPM Bangladesh has produced a number of tools based on its regular data collection activities and drone flights.
The package of April 2018 is based on NPM Baseline 10 (as of 17 April) and NPM drone imagery (as of 24 April).
Here below, the complete package by camp:
SW Map package
KMZ file
Drone image
The full image and shapefiles are available at this link.
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50+ Downloads
Time Period of the Dataset [?]: May 06, 2018-May 06, 2018
... More
Modified [?]: 22 May 2018
Dataset Added on HDX [?]: 22 May 2018
This dataset updates: Every three months
This shapefile contains the bridges of Kutupalong-Balukhali Rohingya refugee sites including existing and Planned bridges.
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100+ Downloads
Time Period of the Dataset [?]: March 11, 2018-March 11, 2018
... More
Modified [?]: 11 May 2018
Dataset Added on HDX [?]: 11 March 2018
This dataset updates: Every month
These data set contain the Health facilities center for Rohingya refugees and host communities in Cox's Bazar
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40+ Downloads
Time Period of the Dataset [?]: January 01, 2014-December 31, 2018
... More
Modified [?]: 5 May 2018
Dataset Added on HDX [?]: 27 May 2019
This dataset updates: Every year
The health and survival of women and their new-born babies in low income countries is a key public health priority, but basic and consistent subnational data on the number of pregnancies to support decision making has been lacking. WorldPop integrates small area data on the distribution of women of childbearing age, age-specific fertility rates, still births and abortions to map the estimated distributions of pregnancies for each 1x1km grid square across all low and middle income countries. Further details on the methods can be found in Tatem et al and James et al..
Data for earlier dates is available directly from WorldPop.
WorldPop (
www.worldpop.org - School of Geography and Environmental Science, University of Southampton). 2018. Bangladesh 1km Pregnancies. Version 2.0 2015 estimates of numbers of pregnancies per grid square, with national totals adjusted to match national estimates on numbers of pregnancies made by the Guttmacher Institute (
http://www.guttmacher.org) DOI: 10.5258/SOTON/WP00595
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30+ Downloads
Time Period of the Dataset [?]: January 01, 2014-December 31, 2018
... More
Modified [?]: 5 May 2018
Dataset Added on HDX [?]: 27 May 2019
This dataset updates: Every year
The health and survival of women and their new-born babies in low income countries is a key public health priority, but basic and consistent subnational data on the number of live births to support decision making has been lacking. WorldPop integrates small area data on the distribution of women of childbearing age and age-specific fertility rates to map the estimated distributions of births for each 1x1km grid square across all low and middle income countries. Further details on the methods can be found in Tatem et al. and James et al..
Data for earlier dates is available directly from WorldPop.
WorldPop (
www.worldpop.org - School of Geography and Environmental Science, University of Southampton). 2018. Bangladesh 1km Births. Version 2.0 2015 estimates of numbers of live births per grid square, with national totals adjusted to match UN national estimates on numbers of live births (
http://esa.un.org/wpp/). DOI: 10.5258/SOTON/WP00544
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100+ Downloads
Time Period of the Dataset [?]: November 11, 2017-December 12, 2018
... More
Modified [?]: 1 May 2018
Confirmed [?]: 7 March 2024
Dataset Added on HDX [?]: 18 April 2018
This dataset updates: Never
Following an outbreak of violence on 25 August 2017 in Rakhine State, Myanmar, a new massive influx of Rohingya refugees to Cox’s Bazar, Bangladesh started in late August 2017. Most of the Rohingya refugees settled in Ukhia and Teknaf Upazilas of Cox’s Bazar, a district bordering Myanmar identified as the main entry area for border crossings.
This assessment presents NPM Round 7 site assessment baseline dataset, which covers all locations hosting Rohingya populations in Cox's Bazar District in Bangladesh and present population needs overview as of 12 December 2017.
The data collection assessment of NPM Round 7 was conducted between 11 November to 12 December 2017. For further information full report available on
humanitarianresponse.info
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400+ Downloads
Time Period of the Dataset [?]: December 24, 2017-January 30, 2018
... More
Modified [?]: 22 April 2018
Confirmed [?]: 7 March 2024
Dataset Added on HDX [?]: 12 April 2018
This dataset updates: Never
Following an outbreak of violence on 25 August 2017 in Rakhine State, Myanmar, a new massive influx of Rohingya refugees to Cox’s Bazar, Bangladesh started in late August 2017. Most of the Rohingya refugees settled in Ukhia and Teknaf Upazilas of Cox’s Bazar, a district bordering Myanmar identified as the main entry area for border crossings.
This assessment presents data from NPM Round 8 baseline survey and site assessment: the baseline was conducted between 24 December 2017 and 4 January 2018; the site assessment between 15 and 30 January 2018.
The complete data collection was conducted between 24 December and 30 January 2018. For further information, the full report and related information package are available on
humanitarianresponse.info
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100+ Downloads
Time Period of the Dataset [?]: March 09, 2018-March 09, 2018
... More
Modified [?]: 9 March 2018
Dataset Added on HDX [?]: 9 March 2018
This dataset updates: Every month
Satellite imagery derived shelter footprints of Rohingya refugee settlements in Cox's Bazar District, Bangladesh. Based on best available imagery acquired in February 2018.
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300+ Downloads
Time Period of the Dataset [?]: January 31, 2018-January 31, 2018
... More
Modified [?]: 28 February 2018
Dataset Added on HDX [?]: 28 February 2018
This dataset updates: Every month
On January 2018, partners from the Cox Bazar Health Sector conducted a mapping exercise of the Health Facilities in the refugee camp areas.
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200+ Downloads
Time Period of the Dataset [?]: February 19, 2018-February 19, 2018
... More
Modified [?]: 28 February 2018
Dataset Added on HDX [?]: 28 February 2018
This dataset updates: Every month
On behalf of the Global WASH Cluster, with funding provided by UNICEF, REACH conducted a mapping exercise of Education Facilities in Rohingya refugee settlements in Cox's Bazar District
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300+ Downloads
Time Period of the Dataset [?]: January 24, 2018-January 24, 2018
... More
Modified [?]: 24 January 2018
Dataset Added on HDX [?]: 23 October 2017
This dataset updates: Every year
Zipped shapefile containing 1m contour lines for Kutupalong mega camp area including Thangkhali, Hakimpara, Jamtoli and Bagghona/Potibonia. These are created by NPM team of IOM using a UAV of December 2017.
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200+ Downloads
Time Period of the Dataset [?]: December 04, 2017-December 04, 2017
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Modified [?]: 4 December 2017
Dataset Added on HDX [?]: 4 December 2017
This dataset updates: Every month
This shapefile and kml file contains the streams of Kutupalong Balukhali Rohingya refugee sites. These stream flow through the Kutupalomg mega camp and surrounding.
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100+ Downloads
Time Period of the Dataset [?]: October 26, 2017-October 26, 2017
... More
Modified [?]: 21 November 2017
Dataset Added on HDX [?]: 21 November 2017
This dataset updates: Every month
The Satellite image (Pléiades ©CNES 2017, Distribution Airbus DS) as of 26 October 2017 converted to .kmz for using through Google Earth on a computer, Earth for Android for easy viewing in the field, OSMNavigator for offline, Google Maps-style real-time GPS position overlay on top of the image, Garmin handheld GPS units etc.
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100+ Downloads
Time Period of the Dataset [?]: October 14, 2017-October 14, 2017
... More
Modified [?]: 10 November 2017
Dataset Added on HDX [?]: 14 October 2017
This dataset updates: Every six months
The data consists of points of site infrastructures of four existing makeshift settlements (KMS, BMS, LMS, Shamlapur) as of July 2017 with information on sectors, type of infrastructures and agencies.
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200+ Downloads
Time Period of the Dataset [?]: November 01, 2017-November 01, 2017
... More
Modified [?]: 2 November 2017
Dataset Added on HDX [?]: 2 November 2017
This dataset updates: Every three months
These data set contain the Health and Nutrition center for Rohingya refugees and host communities in Cox's Bazar
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1000+ Downloads
Time Period of the Dataset [?]: August 15, 2017-August 15, 2017
... More
Modified [?]: 17 August 2017
Dataset Added on HDX [?]: 15 August 2017
This dataset updates: Never
In this analysis we have combined several data sources around the floods in Bangladesh in August 2017.
Visualization
See attached map for a map visualization of this analysis.
See
http://bit.ly/2uFezkY for a more interactive visualization in Carto.
Situation
Currently, in Bangladesh many water level measuring stations measure water levels that are above danger levels. This sets in triggers in motion for the partnership of the 510 Data Intitiative and the Red Cross Climate Centre to get into action.
Indicators and sources
In the attached map, we combined several sources:
Locations of waterlevel stations and their respective excess water levels (cms above danger level) at 14/08/2017 (Source:
http://www.ffwc.gov.bd/index.php/googlemap?id=20)
Population density in Bangladesh to quickly see where many people live in comaprison to these higher water-level stations. (Source:
http://www.worldpop.org.uk/data/summary/?doi=10.5258/SOTON/WP00018 >> the People per hectare 2015 UN-adjusted totals file is used.)
Vulnerability Index: we constructed a Vulnerability Index (0-10) based on two sources. First poverty incidence was collected from Worldpop (Source:
http://www.worldpop.org.uk/data/summary/?doi=10.5258/SOTON/WP00020 >> The estimated likelihood of living below $2.50/day). Second, we used a Deprivation Index which is estimated in the report Lagging District Reports 2015 (Source:
http://www.plancomm.gov.bd/wp-content/uploads/2015/02/15_Lagging-Regions-Study.pdf > Appendices > Table 20), which combines many socio-economic variables into one Deprivation Index through PCA analysis.
Detailed methodology Vulnerability
The above-mentioned poverty source file is on a raster level. This raster level poverty was transformed to admin-4 level geographic areas (source:
https://data.humdata.org/dataset/bangladesh-admin-level-4-boundaries), by taking a population-weighted average. (Source population also Worldpop).
The district-level PCA components from abovementioned reports were matched to the geodata based on district names, and thus joined to the admin-4 level areas, which now contain a poverty value as well as Deprivation Index value. Note that all admin-4 areas within one district (admin-2) obviously all have the same value. The poverty rates do differ between all admin-4 areas.
Lastly, both variables were transformed to a 0-10 score (linearly), and a geomean was taken to calculate the final index of the two. A geomean (as opposed to an arithmetic mean) is often used in calculating composite risk indices, for example in the widely used INFORM-framework (
www.inform-index.org).
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300+ Downloads
Time Period of the Dataset [?]: March 08, 2017-March 08, 2017
... More
Modified [?]: 8 March 2017
Dataset Added on HDX [?]: 8 March 2017
This dataset updates: As needed
This spatial dataset provides point data for education facilities of Bangladesh by LGED . The original source of the data is Local Government Engineering Department (LGDE) of Bangladesh. Dataset updated by WFP, Map Action and OCHA.
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600+ Downloads
Time Period of the Dataset [?]: September 01, 2013-September 01, 2013
... More
Modified [?]: 8 March 2017
Dataset Added on HDX [?]: 30 January 2017
This dataset updates: Every year
This spatial dataset provides Forest and natural parks data of Bangladesh. The original source of the data is Local Government Engineering Department (LGDE) of Bangladesh. Dataset updated by WFP, Map Action and OCHA.
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400+ Downloads
Time Period of the Dataset [?]: May 14, 2015-May 14, 2015
... More
Modified [?]: 24 November 2015
Dataset Added on HDX [?]: 6 May 2015
This dataset updates: Every month
The Income Activities dataset includes data on income generation at the household level. Sources of income listed include labor, agriculture, asset sales, and remittances, among others. It is available for 32 countries.
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900+ Downloads
Time Period of the Dataset [?]: May 13, 2015-May 13, 2015
... More
Modified [?]: 24 November 2015
Dataset Added on HDX [?]: 15 April 2015
This dataset updates: Every month
The Food Consumption Score (FCS) dataset is based on the FCS indicator, which assigns a food security score based on food consumption and diets. This data is available sub-nationally for 38 countries, such as Nepal and Sierra Leone.
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500+ Downloads
Time Period of the Dataset [?]: January 01, 2001-January 01, 2001
... More
Modified [?]: 16 October 2015
Dataset Added on HDX [?]: 16 October 2015
This dataset updates: Every year
An excel table with basic census data at the upazila level from the 2001 census. Provided by the Bangladesh Bureau of Statistics (BBS).
