Zimbabwe is a beneficiary country from the list of HIH priority countries. Hand-in-Hand focuses on countries that struggle with poverty and food security. The initiative applies a framework specifically conceived to identify areas within these countries that have good agricultural potential but also high levels of poverty and hunger.

Population density per pixel at 100 metre resolution. WorldPop provides estimates of numbers of people residing in each 100x100m grid cell for every low and middle income country. Through ingegrating cencus, survey, satellite and GIS datasets in a flexible machine-learning framework, high resolution maps of population counts and densities for 2000-2020 are produced, along with accompanying metadata.

DATASET: Alpha version 2010 and 2015 estimates of numbers of people per grid square, with national totals adjusted to match UN population division estimates (http://esa.un.org/wpp/) and remaining unadjusted.

REGION: Africa

SPATIAL RESOLUTION: 0.000833333 decimal degrees (approx 100m at the equator)

PROJECTION: Geographic, WGS84

UNITS: Estimated persons per grid square

MAPPING APPROACH: Land cover based, as described in: Linard, C., Gilbert, M., Snow, R.W., Noor, A.M. and Tatem, A.J., 2012, Population distribution, settlement patterns and accessibility across Africa in 2010, PLoS ONE, 7(2): e31743.

FORMAT: Geotiff (zipped using 7-zip (open access tool): www.7-zip.org)

FILENAMES: Example - AGO10adjv4.tif = Angola (AGO) population count map for 2010 (10) adjusted to match UN national estimates (adj), version 4 (v4). Population maps are updated to new versions when improved census or other input data become available.

Zimbabwe data available from WorldPop here.

These raster files show the land cover classification around Harare in 2006 and 2010. The classification results were based on Spot 5 imagery. Land cover classes in the attribute table are as follows: Class 1 Regular Residential (small planned buildings) Class 2- Regular Residential (small unplanned buildings) Class 3 Commercial/Industrial (large buildings) Class 4 Natural (Vegetation/Soil/non built-up This dataset is part of a paper which illustrates how the capabilities of GIS and satellite imagery can be harnessed to explore and better understand the urban form of several large African cities (Addis Ababa, Nairobi, Kigali, Dar es Salaam, and Dakar). To allow for comparability across very diverse cities, this work looks at the above mentioned cities through the lens of several spatial indicators and relies heavily on data derived from satellite imagery. First, it focuses on understanding the distribution of population across the city, and more specifically how the variations in population density could be linked to transportation. Second, it takes a closer look at the land cover in each city using a semi-automated texture based land cover classification that identifies neighborhoods that appear more regular or irregularly planned. Lastly, for the higher resolution images, this work studies the changes in the land cover classes as one moves from the city core to the periphery. This work also explored the classification of slightly coarser resolution imagery which allowed analysis of a broader number of cities, sixteen, provided the lower cost. When using this dataset keep in mind: Accuracy is higher in closer to the City center, and the distinction between class 1 and class 2 has not been validated, so use with caution. To learn more about the methodology please refer to https://ssrn.com/abstract=2883394

Zimbabwe: Fragile state index, 0 (low) - 120 (high): For that indicator, we provide data for Zimbabwe from 2007 to 2023. The average value for Zimbabwe during that period was 103.88 index points with a minimum of 96.9 index points in 2023 and a maximum of 114 index points in 2009. The latest value from 2023 is 96.9 index points. For comparison, the world average in 2023 based on 177 countries is 65.53 index points.

Inflation in Zimbabwe rose to 10.61 percent in 2018, and is projected to jump dramatically to 577.21 percent in 2020. After that, estimates predict a slow decline for now - however, given Zimbabwe’s history of poor monetary policy, including one of the worst instances of hyperinflation, this seems unrealistic.

Inflation history

Inflation depends significantly on economic expectations of it, making it hard to reduce inflation once it has hit higher levels. This happened in Zimbabwe in the years approaching 2008, at the end of which a single U.S. dollar was worth over 2.6 trillion Zimbabwe dollars, up from 10,000 Zimbabwe dollars at the start of 2005. This all but destroyed Zimbabwe’s economy, leading to very low gross domestic product (GDP) per capita and a government struggling to finance itself.

The way ahead

In 2009, the Zimbabwean dollar had twelve zeros slashed from the banknotes. This was not enough, and after three decades of rule, former Zimbabwean president Robert Mugabe was removed from power at the end of 2017. Citizens of the country are trying to hold foreign banknotes; they prefer U.S. dollars or euros, but the South African rand is more common. However, the rand’s performance against other currencies has been lackluster in recent years. This underscores the struggle that the Zimbabwean people have to find a stable currency at the moment.

Techsalerator's Corporate Actions Dataset in Zimbabwe offers a comprehensive collection of data fields related to corporate actions, providing valuable insights for investors, traders, and financial institutions. This dataset includes crucial information about the various financial instruments of all 63 companies traded on the Zimbabwe Stock Exchange (XZIM).

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Top 5 used data fields in the Corporate Actions Dataset for Zimbabwe:

• Dividend Declaration Date: The date on which a company's board of directors announces the dividend payout to its shareholders. This information is crucial for investors who rely on dividends as a source of income.

• Stock Split Ratio: The ratio by which a company's shares are split to increase liquidity and affordability. This field is essential for understanding changes in share structure.

• Merger Announcement Date: The date on which a company officially announces its intention to merge with another entity. This field is crucial for investors assessing the impact of potential mergers on their investments.

• Rights Issue Record Date: The date on which shareholders must be on the company's books to be eligible for participating in a rights issue. This data helps investors plan their participation in fundraising events.

• Bonus Issue Ex-Date: The date on which a company's shares start trading without the value of the bonus issue. This information is vital for investors to adjust their portfolios accordingly.

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Top 5 corporate actions in Zimbabwe:

Mining and Natural Resources Developments: Corporate actions related to mining operations, including investments, exploration, and partnerships, have been notable in Zimbabwe due to its mineral wealth, including platinum and gold.

Agricultural and Agribusiness Initiatives: Given the importance of agriculture to the Zimbabwean economy, corporate actions involving agribusiness projects, technology adoption, and value chain development contribute to food security and rural development.

Financial Sector Reforms: Corporate actions related to banking and financial sector reforms, such as digital banking innovations and regulatory changes, impact the financial landscape and promote financial inclusion.

Renewable Energy Projects: Corporate actions related to renewable energy projects, such as solar and hydroelectric initiatives, align with Zimbabwe's efforts to achieve energy sustainability and reduce reliance on traditional sources.

Infrastructure Rehabilitation: Corporate actions focused on infrastructure development and rehabilitation, including transportation and energy projects, play a role in supporting economic growth and improving connectivity.

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Top 5 financial instruments with corporate action Data in Zimbabwe

Harare Stock Exchange (HSE) Domestic Company Index: The main index that tracks the performance of domestic companies listed on the Harare Stock Exchange. This index would provide insights into the performance of the Zimbabwean stock market.

Harare Stock Exchange (HSE) Foreign Company Index: The index that tracks the performance of foreign companies listed on the Harare Stock Exchange, if foreign listings were present. This index would give an overview of foreign business involvement in Zimbabwe.

ZimMart: A Zimbabwe-based supermarket chain with operations in multiple regions. ZimMart focuses on providing essential products to local communities and contributing to the retail sector's growth.

FinServe Zimbabwe: A financial services provider in Zimbabwe with a focus on promoting financial inclusion and access to banking services, particularly among underserved communities.

AgriTech Zimbabwe: A company dedicated to advancing agricultural technology in Zimbabwe, focusing on optimizing crop yields and improving food security to support the country's agricultural sector.

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If you're interested in accessing Techsalerator's End-of-Day Pricing Data for Zimbabwe, please contact info@techsalerator.com with your specific requirements. Techsalerator will provide you with a customized quote based on the number of data fields and records you need. The dataset can be delivered within 24 hours, and ongoing access options can be discussed if needed.

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Data fields included:

Dividend Declaration Date Stock Split Ratio Merger Announcement Date Rights Issue Record Date Bonus Issue Ex-Date Stock Buyback Date Spin-Off Announcement Date Dividend Record Date Merger Effective Date Rights Issue Subscription Price ‍

Q&A:

How much does the Corporate Actions Dataset cost in Zimbabwe?

The cost of the Corporate Actions Dataset may vary depending on factors such as the number of data fields, the frequency of updates, and the total records count. For precise pricing details, it is recommended to directly consult with a Techsalerator Data specialist.

How complete is the Corporate Actions Dataset coverage in Zimbabwe?

Techsalerator provides comprehensive coverage of Corporate Actions Data for various companies and securities traded on the Zimbabwe Stock Exchange. The dataset encompasses major corporate actions announced by entities in the Zimbabwe market.

How does Techsalerator collect this data?

Techsalerator collects Corporate Actions Data from reliable sources, including company announcements, regulatory filings, and financial news outlets. The data is carefully curated to ensure accuracy and reliability.

Can I select specific financial instruments or multiple countries with Techsalerator's Corporate Actions Dataset?

Techsalerator offers the flexibility to select specific financial instruments or focus on corporate actions in Zimbabwe. While the dataset primarily covers Zimbabwe market, Techsalerator may provide data for other countries and international markets upon request.

How do I pay for this dataset?

Techsalerator accepts various payment methods, including credit cards, direct transfers, ACH, and wire transfers, facilitating a convenient and secure payment process.

How do I receive the data?

Techsalerator provides the Corporate Actions Data through multiple delivery methods, such as FTP, SFTP, S3 bucket, or email, ensuring easy access and integration into your systems. The dataset is available in formats like JSON, CSV, TXT, or XLS, allowing seamless data processing.

Graph and download economic data for Capital Stock at Constant National Prices for Zimbabwe (RKNANPZWA666NRUG) from 1954 to 2019 about Zimbabwe, stocks, capital, and price.

Zimbabwe: Trade openness: exports plus imports as percent of GDP: For that indicator, we provide data for Zimbabwe from 1975 to 2022. The average value for Zimbabwe during that period was 60.45 percent with a minimum of 35.92 percent in 1983 and a maximum of 109.52 percent in 2008. The latest value from 2022 is 64.96 percent. For comparison, the world average in 2022 based on 148 countries is 100.81 percent.

The ratio of national debt to gross domestic product in Zimbabwe was forecast to decrease between 2023 and 2028 by in total 52.7 percentage points. This overall decrease does not happen continuously, notably not in 2027. The ratio is estimated to amount to 42.7 percent in 2028. This indicator describes the general government gross debt in relation to the country's GDP. According to the International Monetary Fund, gross debt consists of all liabilities that require payment or payments of interest and/or principal by the debtor to the creditor at a date or dates in the future. The GDP, on the other hand, refers to the total value of final goods and services produced during a year.Find more key insights for the ratio of national debt to gross domestic product in countries like Burundi, Madagascar and Uganda.

Zimbabwe: Bank return on assets, in percent: For that indicator, we provide data for Zimbabwe from 2001 to 2021. The average value for Zimbabwe during that period was 4.76 percent with a minimum of 0.93 percent in 2014 and a maximum of 18.59 percent in 2001. The latest value from 2021 is 5.23 percent. For comparison, the world average in 2021 based on 136 countries is 1.57 percent.

Zimbabwe: Business freedom index (0-100): For that indicator, we provide data for Zimbabwe from 1995 to 2024. The average value for Zimbabwe during that period was 44 points with a minimum of 30 points in 2010 and a maximum of 55 points in 1995. The latest value from 2024 is 39 points. For comparison, the world average in 2024 based on 175 countries is 62 points.

Zimbabwe: Rule of law index (-2.5 weak; 2.5 strong): For that indicator, we provide data for Zimbabwe from 1996 to 2022. The average value for Zimbabwe during that period was -1.49 points with a minimum of -1.87 points in 2009 and a maximum of -0.77 points in 1998. The latest value from 2022 is -1.24 points. For comparison, the world average in 2022 based on 193 countries is -0.04 points.

Zimbabwe administrative level 0 (country), 1 (province), 2 (district) and 3 (ward) boundary polygon, line, and point shapefiles, KMZ files, geodatabase, and live services, and gazetteer. REFERENCE YEAR 2018 Please note that administrative level 3 (ward) features are identified numerically. Vetting and live service provision by Information Technology Outreach Services (ITOS) with funding from USAID. These shapefiles are suitable for linkage by P-code to the Zimbabwe administrative levels 0 - 2 population statistics CSV population statistics tables.

Caveats - The administrative level 0 (country) and 1 (province) KMZ files were made from generalized (tolerance 0.001 degree) shapefiles.

Methodology - Other

Source: https://data.humdata.org/dataset/zimbabwe-administrative-levels-0-3-boundaries
Last updated at https://data.humdata.org/organization/ocha-rosea : 2020-09-07

License - Other

More information about the license

Zimbabwe: Current account balance as percent of GDP: For that indicator, we provide data for Zimbabwe from 1990 to 2022. The average value for Zimbabwe during that period was -3.35 percent with a minimum of -17.25 percent in 2011 and a maximum of 5.1 percent in 2019. The latest value from 2022 is 1 percent. For comparison, the world average in 2022 based on 162 countries is -3.42 percent.

Zimbabwe: Precipitation, mm per year: For that indicator, we provide data for Zimbabwe from 1961 to 2020. The average value for Zimbabwe during that period was 658 mm per year with a minimum of 657 mm per year in 1961 and a maximum of 692 mm per year in 2000. The latest value from 2020 is 657 mm per year. For comparison, the world average in 2020 based on 178 countries is 1168 mm per year.

Graph and download economic data for Real GDP at Constant National Prices for Zimbabwe (RGDPNAZWA666NRUG) from 1954 to 2019 about Zimbabwe, real, GDP, and price.

Zimbabwe: Government spending, billion USD: For that indicator, we provide data for Zimbabwe from 1960 to 2022. The average value for Zimbabwe during that period was 1.35 billion U.S. dollars with a minimum of 0.09 billion U.S. dollars in 2008 and a maximum of 4.57 billion U.S. dollars in 2022. The latest value from 2022 is 4.57 billion U.S. dollars. For comparison, the world average in 2022 based on 142 countries is 88.01 billion U.S. dollars.

The national debt in Zimbabwe was forecast to continuously increase between 2023 and 2028 by in total 5.1 trillion U.S. dollars (+1551.38 percent). After the tenth consecutive increasing year, the national debt is estimated to reach 5.5 trillion U.S. dollars and therefore a new peak in 2028. Notably, the national debt was continuously increasing over the past years.As defined by the International Monetary Fund, the general government gross debt consists of all liabilities that require payment or payments of interest and/or principal by the debtor to the creditor at a date or dates in the future.Find more key insights for the national debt in countries like Tanzania, Zambia and Mauritius.

Zimbabwe: Exports of goods and services as percent of GDP: For that indicator, we provide data for Zimbabwe from 1975 to 2022. The average value for Zimbabwe during that period was 27.38 percent with a minimum of 16.44 percent in 1983 and a maximum of 43.39 percent in 1998. The latest value from 2022 is 27.96 percent. For comparison, the world average in 2022 based on 149 countries is 47.96 percent.