by Christina Fletes, Research Fellow and Anne Ryan, Communications Associate

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When you hear survey statistics in the news do you ever wonder: who’s out in the field asking people questions and collecting this data?

Perhaps you imagine someone in a cubicle making cold-calls or maybe a college student going door-to-door carrying a clipboard.

This may be a method for some agencies, but when you hear survey results from DataCenter this is what you can imagine: someone from a community, talking to people they know, and asking questions they’ve helped develop. As DataCenter’s National Domestic Workers Survey project continues to move forward, you can imagine a Latina, Cambodian or Trinidadian woman, who, after learning how training to conduct a survey, will be out collecting real stories so that women from this largely isolated and misunderstood workforce can use their experiences to acquire the basic labor rights they deserve. Thank you for joining with DataCenter as we gather community-based research, and currently embark on one of the key steps in any research project: training our domestic worker surveyors.

As of this post, we have conducted a Training for Trainers in New York, and are currently leading one in Los Angeles.

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Now you’re wondering, what is a “Training for Trainers”?
We have gathered together domestic workers who speak Spanish, Tagalog, Haitian Creole and 6 other languages that domestic workers speak. After a four day training, these women will then go back to their home communities, and train others to conduct the survey as well. In this way, we can efficiently train surveyors in 13 cities across the United States.

Now you’re wondering, what will they need to learn? First, the participants will learn about who they will be surveying. DataCenter is using census data to inform the demographics of those we seek to survey. Surveys will be collected according to occupation and race/ethnicity. For example, if in San Francisco 60% of the workers are housekeepers then 60% of the 150 surveys will come from housekeepers.

How will they find people to survey? DataCenter will also provide the participants with the space and the tools to create specialized outreach strategies. They will be learning tips and methods from each other as well.

In addition to generating powerful, national data about the working and living conditions of domestic workers across the country, this survey will help local organizations that support domestic workers increase their base. This is key: as domestic workers meet each other and learn each others’ stories, they can find comfort in their shared experiences, build relationships and build a groundswell of support for the rights of domestic workers from state to state and across the country. We look forward to bringing their stories to you as well, so we can work in solidarity with them for lasting social change.

Read stories of Household workers in California (2007).
Read stories of Domestic Workers in New York state (2006).

by Saba Waheed

Last month, DataCenter trained 40 people in San Francisco and Los Angeles.  The participants came from various fields including public health, organizing, academia, social services and policy advocacy.  In Los Angeles, we partnered with Mujeres Unidas y Activas (MUA) at the The California Wellness Foundation convening of their work and health grantees and guided participants through the research planning and strategizing process.  The audience was especially energized by MUA staff Claudia Reyes and Juana Flores who laid out in detail how they were able to design the survey instruments, train members, implement the survey and conduct analysis and then transfer that data into an effective organizing strategy.  Similarly, in San Francisco, we provided a half day training on research and planning through CompassPoint.  We had good discussions on ways that data could tell a community’s story.   These trainings have emerged out of years of creating and improving curricula that can simply outline the basics in research planning but more importantly, guide in picking methods strategically so that the information is being leveraged in the most powerful way.

The National Domestic Workers Alliance (NDWA) is an alliance of domestic and household workers in the United States and is a vehicle to build power nationally as a workforce. Many of its member organizations, such as Mujeres Unidas y Activas and Domestic Workers United, have been long time partners of the DataCenter and have led cutting edge research projects that have supported campaigns and organizing efforts to improve the living and working conditions of domestic workers. The Alliance is now launching a national participatory research project on the domestic work industry and the weekend of November 13-15 it is holding its first West Coast Domestic Workers Congress in Oakland, CA. DataCenter will lead a workshop with its members on creating, designing and implementing a national survey.

Behind Closed Doors

behindcloseddoors

Behind Closed Doors:
Working Conditions of California Household Workers

By Mujeres Unidas y Activas, the Day Labor Program Women’s Collective of La Raza Centro Legal, and the DataCenter

March 2007

Household workers work in the private homes of their employers, performing tasks such as in-home child, patient, and elder care, housework, and cooking. Mujeres Unidas y Activas and the Day Labor Program Women’s Collective of La Raza Centro Legal came together to analyze and to strategize to improve the household work industry. Because there is no accurate data available about the number of household workers or information about their work conditions in California, these Bay Area organizations of low-income immigrant Latina women, many of whom are household workers, joined with the DataCenter to create a participatory research project to assess the industry. The research shows that household workers are primarily female immigrants. While supporting their employers’ homes and families, findings show household workers are working in substandard and often exploitative conditions, earning poverty wages too low to support their own families, and lacking access to basic health care.

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