ArcGIS Online

Examine Global Poverty Using UN Sustainable Development Goals

Have you ever considered where pockets of poverty exist and who is most affected? Unfortunately, global trends show that children are most impacted by poverty. Around the world 385 million children live in extreme poverty, and in 2013 the World Bank found that 19.5 percent of children in 89 countries lived in a household that survived on U.S. $1.90 per day per person or less.

Why is poverty such a critical issue? Because it relates to the overall well-being of a person. Those living in poverty may lack access to basic food, housing, and healthcare. Growing up without consistent nutrition, shelter, and safety can have long-lasting developmental impacts on children and can cause lifelong problems.

In 2015, the United Nations and world leaders developed a series of goals to improve situations for people, places and environments globally. In total, there are 17 of these Sustainable Development Goals that nations are striving to meet by 2035. This activity focuses on Goal 1: No Poverty and corresponding indicators that can be used to measure poverty. Check out the web app below, or open the app here.

Protecting Children with UN Sustainable Development Goals

A side-by-side comparison of data for goals 1.3.1 (proportion of children covered by social protections) and 8.7.1 (proportion of children in the workforce). Data sourced from the UN Sustainable Goals open data portal.

Step 1: Visualize Global Poverty

Sustainable Development Goal 1, “No Poverty” is achieved when we “End poverty in all its forms everywhere,” and “should be understood as deprivation beyond the lack of income and resources to ensure a sustainable livelihood.”

Poverty is felt through hunger, malnutrition, limited access basic services and educational opportunities, social discrimination and exclusion. In order to secure a future of sustainable economic growth, it is essential for countries to promote economic equality.

1. Visit the UN Sustainable Development site.

Most of the data for the Sustainable Development Goals is curated and maintained by the UN Statistics Division. There are also countries that host their own open data portals featured on the data page.

2. Under Explore Spatially Referenced Data by Goal, click the first goal, No Poverty.

No poverty

3. In the data catalog, search for 1.1.1.

4. Open the result titled Indicator 1.1.1: Proportion of population below the international poverty line of US$1.90 a per day, total (%)

The data page displays information about the dataset. You can view a sample attribute table in the Data tab, or view chart visualizations by clicking on an attribute.

5. Under About, click Create Web Map.

Create a webmap

The layer opens in ArcGIS. It appears that Africa, southeast Asia, eastern Europe, and Central and South America report most of the data available.

6. Sign in to your ArcGIS Organization.

Note: If you don’t have access to an ArcGIS organizational account, get a free ArcGIS trial.

7. Click Save, then Save As, and save a copy of the web map to your account.

The data appears as points, but to better visualize it, the data should be converted to polygons.

8. On the Change Style pane, click Done.

9. On the ribbon, click Add, then click Browse Living Atlas Layers. Search for “world countries” and add one of Esri’s World Countries layers by clicking the plus.

10. Click the back arrow to close the pane. In the Contents pane, hover over your World Countries layer and click the Perform Analysis button.

perform analysis button

11. On the Perform Analysis pane, expand Summarize Data, then click Join Features.

12. Ensure that Number 1, Choose target layer, is set to World Countries.

13. For Choose layer to join to target layer, click the menu and choose the Indicator 1.1.1 layer.

14. For Select the type(s) of join, click Choose a spatial relationship and choose Intersects. For Choose join operation, make sure Join one to one is selected.

Join features parameters

15. Name the layer World Poverty, uncheck the Use current map extent box, and click Run Analysis.

When the analysis finishes, the layer will be added to the map. By default, all the countries are shown in the same color. To see the data, you’ll change the symbology to show a choropleth map.

16. Uncheck all layers except for World Poverty, then hover over the World Poverty layer and click the Change Style button.

17. On the Change Style pane, expand the Choose an attribute to show menu and choose Latest Value.

Latest Value is the attribute that shows the latest reported value for any country that has reported data. The countries are symbolized with a default graduated color scheme that shows low values in a light yellow and high values in a dark blue. The light yellows blend in to the basemap, so before analyzing the map, you’ll change the symbology.

18. For Counts and Amounts (Color) click Options, then click Symbols. Choose a color ramp that stands out from the basemap. If necessary, click Invert to show the higher values in darker colors.

 

Indicator 1.1.1-Global poverty map

From a visual analysis, it appears that Eastern Europe and South America have the lowest levels of poverty. Several African countries report high levels of poverty, as do the Asian nations of Turkmenistan, Uzbekistan, and Papua New Guinea. Some countries, such as the United States and Australia, haven’t reported data for this metric.

19. Click OK, then Done and save the map.

Step 2: Compare Child Poverty

Now that you’ve mapped global poverty, you’ll map countries with social protections in place for children. Social protections, or poverty floors, mean that the government will step in and provide aid to children at a certain point. While this is not a solution to end poverty, it is an indicator of where steps are being taken toward the eradication of poverty.

1. On the ribbon, click Add and choose Search for Layers.

2. Click My Content and choose ArcGIS Online, then search for 3.1 proportion of children.

3. Click the plus to add the first result, Indicator 1.3.1: Proportion of children covered by social protection, total (%) to the map.

Indicator 1.3.1- Social protections for children

4. Hover over the World Poverty layer and click Perform Analysis.

5. Expand Summarize Data and choose Join Features. Enter the parameters as follows:

6. Uncheck Use current map extent and click Run Analysis.

7. Turn off all layers except for Childhood Poverty.

8. Hover over the Childhood Poverty layer and click Change Style.

9. Change the attribute to show to Latest Value 1.

Because you joined the datasets for global poverty and childhood social protections together, there will be many similar geoattribute names. Later, you’ll edit the names to make them more clear, but for now, remember that any attributes with a ‘1’ appended are from the childhood social protections layer.

Countries with social protections for children

Already, you can see that some countries reported data for one indicator and not the other. ArcGIS Online offers an easy way to visualize and compare relationships where data is present.

10. Click Done.

Step 3: Compare data to find patterns

1. Hover over the Childhood Poverty layer and click the ellipses. In the More Options menu, click Copy.
An identical layer is added to the map.

2. Turn off the original layer, then open the Change Style pane for the Childhood Poverty- copy

The layer currently shows Latest Value 1 from Indicator 1.3.1: Child Social Protection. Now you’ll add the Latest Value attribute from Indicator 1.1.1: Global poverty for comparison.

3. Under Choose an attribute to show, click Add attribute and choose Latest Value.

4. Under Select a drawing style, scroll down to Relationship and click Select, then click Options.

5. Click Symbols, and choose the blue-pink-purple color palette. Click OK, then Done.

The relationship symbology style is a new way of creating bivariate maps that lets you easily compare two topics on a single map because only the countries with data for both indicators are shown. Because the two attributes being compared, Latest Value and Latest Value 1 can be confused, you’ll rename them.

Bivariate map of global poverty and countries with social protections for children

6. Hover over the Childhood Poverty- copy layer and click the ellipses. In the More Options menu, click Rename and replace the default name with Global Childhood Poverty.

7. Click the ellipses again and click Configure Pop-up.

8. Under Pop-up Contents, click Configure Attributes.

9. In the Configure Attributes window, uncheck everything except for Country, Latest Value, and Latest Value 1.

10. In the Field Alias column, click Latest Value and type Global Poverty. Click Latest Value 1 and type Covered by Social Protections. In the Configure Pop-up pane, click OK.

Now when you click on a country, the pop-up shows only those three attributes.

11. At the top of the Contents pane, click Legend.

The Legend pane shows the symbology for all the layers that are turned on, and your changes will be reflected here. By comparing the legend to the map, you can see the two extremes of the spectrum: first, that countries shaded pink have large percentages of their population in poverty coupled with fewer social protections for impoverished children. Second, you can see that countries shaded blue have less poverty and offer more social protections for children. For example, China has low poverty rates but also has low social protections. Several African countries, including Togo, Senegal, and Kenya, have high poverty rates and low social protections.

If you toggle between layers in the Contents pane, the legend will help you perform more visual analysis on the countries. If you were looking at ways to base policy on this information, you could use the maps you created to answer the following questions:

Questions for Consideration

SDG 1: No Poverty

Questions pertaining to both indicators

 

Next steps: Share links to story map

You now have three maps showing UN Sustainable Development Goals data. With a little extra work, there are several ways you can share these.

About

Kathy is a Product Engineer on the Learn ArcGIS team. A Penn State-trained geographer and journalist, she enjoys long mapping sessions in ArcGIS Pro, keeping up-to-date on the Story Map gallery, and appending the prefix "geo" to unsuspecting words.

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