Another way in which it’s tough to be poor
Drinking water utilities are great, but they aren’t perfect. Sometimes there are problems. Do those problems occur randomly? Or are there observable patterns in the water service problems?
Recently I’ve been posting about some findings from a Texas A&M Institute for Science, Technology & Public Policy (ISTPP) national public opinion survey. The survey’s carefully-designed sample of nearly 2,000 individuals is representative of the US population, and so offers an extraordinary look at public perceptions about water service. Earlier posts reported on attitudinal differences between water professionals and the general public, and on the ways that gender predicts opinion on water issues. I’m continuing to write up interesting findings from the ISTPP survey as time allows.
Today I’m looking at income.
Water service problems
The ISTPP survey asked respondents to say whether they had experienced each of the following problems with their drinking water with a simple yes/no answer:
- The water does not taste good (31.5% yes)
- The water is cloudy or dirty (19.5%)
- Water pressure is low (29.2%)
- The water causes sickness (3.8%)
- Water billing or payment problems (10.2%)
Importantly, this survey captures perceived water service problems, not actual problems—we don’t know that any given respondent actually experienced low water pressure, for example. We only know whether a respondent thinks (s)he experienced a problem. Likewise, we don’t know whether water actually caused sickness, only whether the respondent believes that it did. Fortunately, the large majority of respondents said “no” to all of these.
But the “yes” responses didn’t happen by chance. I fitted logistic regression models to identify correlates of water service experiences using the demographic variables in the ISTPP survey, such as race, ethnicity, age, urban/rural location, region, and income. These models estimate the likelihood of experiencing each of the five service problems.
A troubling pattern
The demographic correlates of water service problems vary, but across all five items, household income was the single strongest and most consistent predictor of water service problems. The graph below shows the likelihood of reporting that water billing problems at various income levels, with all else held equal (vertical spikes represent 95% confidence intervals):
At a $20,000 household income, there is a 13% chance of reporting billing problems. At $50,000, the likelihood is to about 9%; at $100,000 the likelihood drops to about 8%. That all makes some sense; we’d generally expect billing problems to correlate with income.
But the same pattern emerges for other kinds of water service problems, too. Here is the likelihood of reporting that water tastes bad at various income levels, again with other variables held constant:
At a $20,000 household income, there is a 37% chance of reporting bad-tasting tap water. At $50,000, the likelihood is to about 30%; at $100,000 the likelihood drops to about 25%.
Here’s the likelihood of experiencing cloudy or dirty water by household income:
Here’s the likelihood of reporting low water pressure by income:
And finally, here’s the likelihood of reporting that water caused illness by income:
Taken together, this is a sobering picture.* There is a clear relationship between income and the way that Americans experience their drinking water utility service. These results resonate with recent research finding a positive relationship between tap water consumption and income, with attendant implications for public health.
*In a future post I’ll look at race and drinking water experience; the picture won’t be much prettier.
Gender predicts concern for water utility issues
Do men and women think differently about their water utilities? In a recent post I wrote about some findings from a Texas A&M Institute for Science, Technology & Public Policy (ISTPP) public opinion survey that included questions taken directly from the American Water Works Association (AWWA) State of the Water Industry survey. The ISTPP survey’s sample of nearly 2,000 individuals was carefully crafted to be representative of the US population, and so is a goldmine of public perceptions about water. I’m blogging about interesting findings here as time allows; today I’m looking at gender.
Water & gender
I’ve always been a bit skeptical about the idea that water is a “gendered” issue in the United States. From a purely biological perspective, there’s no reason to expect that men and women think differently about water utility issues. People of all genders need water to drink, cook, and clean; sanitary sewers and stormwater systems protect everyone. There’s a huge body of academic research on gender related to water and sanitation in the developing world, which make sense—in much of the world, women and girls bear the greatest (literal) burden of securing drinking water, and are most vulnerable to poor sanitary conditions. My Texas A&M colleague Kathleen O’Reilly has worked extensively on this issue.
But in most of the US, men and women experience water utilities in more or less the same way. For the most part, American girls aren’t trudging long distances on foot to fetch water, and American women don’t have to use open pit toilets in urban areas.
What women want (from their water utilities)
So it was surprising (to me, at least) to discover a subtle but consistent gender disparity in attitudes toward water issues in our dataset. As noted in my last post, the ISTPP survey asked eleven questions taken directly from the SOTWI. All eleven attitudinal questions are based on a five-point scale: unimportant (1), slightly important (2), important (3), very important (4), and critically important (5).
Here are the results from the national survey, broken down by gender:
Women reported greater average concern than men across all eleven categories. The greatest disparities were in concern for water loss, climate change, affordability, and conservation. The differences aren’t huge in absolute terms—about a third of a standard deviation in general—but the consistency is striking. The gender effect is in the same direction across-the-board, and the difference is statistically significant in nine of the eleven categories. The gender differences persist in regression analyses that control for partisanship, region, and age.
Unfortunately, the 2015 SOTWI doesn’t include gender data, so we can’t say much about whether a similar gender gap exists within the water sector.
The Aquatic Gender Gap
I don’t know enough social psychology to know exactly what’s behind the gender gap in American water utility attitudes. But these results offer a potentially powerful clue for politically savvy utility leaders: building support for water systems in American communities probably starts with women.