Garment Worker Diaries Data, Bangladesh
Data covering: July 2018 to June 2019.
The new data portal includes new data, covering more months and more respondents, and new features that allow for the comparison of data region to region and brand to brand. For more information on how to use the graphs keep reading. To find out more about how we were able to connect workers to brands, read our explanation here.
Using the Dashboard
You can interact with the graphs in a number of ways. The dashboard is divided into 4 main sections:
- Respondent detail: provides a monthly overview of all the inflows and outflows per respondent against regional or national data
- Respondent & Region Comparison: if you would like to dig deeper into the data of each respondent, this section displays data for different variables for each respondent, for the region where they live and for their job grade
- Region Comparison: this new feature gives users the ability to perform a regional comparison on a range of variables such as factory income, work hours and different types of expenditure
- Factory Comparison: if you are interested in understanding the lives of workers who work for a particular brand, this section lets you select 2 brands to see and compare information about respondents from our study that work for those brands with details about their economic transactions and how they fare against workers from other international brands Users should be aware that most comparisons across brands will not be statistically valid because of the small sample sizes involved and differences in worker characteristics.
A few things to note:
All the amounts are in Bangladesh’s currency, taka. There are about 84 taka to the U.S. dollar and about 95 taka to the euro. So someone earning 8,000 taka a month is earning about $95 or €84 a month.
The summary data for a region are medians, excluding months when a respondent performed no transactions in a particular category. The exclusion of these months is intended to provide users with an idea of what people earned and spent in months when they were earning and spending in a particular category. This is especially important in the case of education, housing expenses, and loans received. In these three cases, if we included zero amounts in the calculation of the median the medians would all be zero and users would be left with the mistaken impression that there was no spending on housing or education.
We have provided a glossary of terms here.
We have randomly reassigned the names of the workers in the profiles.
You can expect an increase in both income and expenditures due to Eid al-Fitr celebrations on June 2018 and 2019, and Eid al-Adha on August 2018 and 2019.
Our hope is that you will learn something about the lives of garment workers and you will take action by writing to your favorite brand directly or by equipping yourself with a deeper understanding of the data that can inform your advocacy efforts on behalf of garment workers. See more on what you might do in our blog, and see the links below the graphs to learn how to take action in any one of these ways.
Write a letter
Follow this link to a letter template that you can use to write to your favorite brand about what you have learned on this site. Telling a brand how one of the profiles of a worker on this site affected you is a good way to convey to the brand how important improving the economic conditions of workers is to you.
If you would like to dig deeper into the data with some bar charts showing different variables for each respondent, for the region where they live, and for their job category, click the Dig Deeper link in the Dashboard above. The set up is the same as in the graphs above, except that you need to click on a dot in the location graph to see the data on an individual worker.
To sign up to gain access to the full data set to conduct your own analysis, go to our Data Access page.