Next Wednesday is the Census Bureau’s release of annual data on earnings, income, poverty, and health insurance coverage for 2017, which will give us a picture of the economic status of working families 10 years since the start of the Great Recession—and in the first year of the Trump presidency. Next week’s release will help us chart the progress made by the typical American household in clawing back nearly two decades of lost income growth—the result of a failure of incomes to return to the business cycle peaks of 2000 during the slow early-2000s recovery and expansion, and the Great Recession. We’ll be paying particular attention to differences in the recovery across racial and ethnic groups.

What happened with incomes in 2016?

After adjusting the series to account for changes to the survey in 2013, 2016 median incomes for American households fell just shy of their pre-Great Recession peaks, even after two years of impressive across-the-board improvements (as shown in the figure below). It is important to note, however, that some of the improvements in inflation-adjusted income we saw in 2015 and 2016 were driven by atypically low inflation—0.1 percent in 2015, and 1.3 percent in 2016. While we don’t expect a similar boost from low inflation in 2017 (inflation increased 2.2 percent in 2017), we anticipate that an additional year of even modest growth will likely bring the broad middle class back to pre-recession incomes. But, for non-elderly households, the latest data will be likely still below the peak reached 17 years prior.

What do we expect in this year’s release?

Given the data we’ve seen for 2017 from other sources, it is likely that earnings, income, and poverty in the 2017 Census data will show some improvement over the past year. But it is also likely that this pace of improvement will be significantly slower than the previous two years’ growth. As the economy steadily strengthens, we’ve seen progress in key labor market indicators, including participation in the labor market and payroll employment, which should boost household labor earnings. However, hourly wage data suggest that wage growth in 2017 continues to be unequal and slower than expected at this point in the business cycle. In 2017, strong growth in hourly wages continued at the top (1.5 percent at the 95th percentile), while the 10th percentile saw the strongest growth at 3.7 percent due in part to a tightening labor market as well as state-level minimum wage increases. However, median wages grew only 0.2 percent.

On Wednesday, we will compare changes earnings, income, and poverty against several benchmarks: over the last year, as well as changes since before the Great Recession and since 2000—the last business cycle peak that can be confidently associated with something close to genuine full employment. Women working full-time, full-year have already exceeded their annual 2000 real earnings level, and the hourly wage data indicate a return to 2000 levels of earnings for men in 2017. We’ll also analyze these changes by race and ethnicity to understand how the economy has treated different demographic groups. Again, the hourly wage data are likely the best predictor of what we can expect for these groups. We will also analyze gender and racial wage gaps to see whether we’ve made any progress in closing these among full-time, full-year workers.

Second on our agenda will be an examination of trends in median household incomes. Again, we will be looking at these data across a range of households: all households, non-elderly households, and by race and ethnicity. As people continue to return to the labor force and get jobs, we should see improvements in incomes, since labor income is the primary form of income for non-elderly households in the middle of the income distribution. Even if individual earnings do not improve significantly, more working members of a household will increase household incomes.

(Also, just a side note on the income data, because of the redesign in 2013, we make an imputation to the historical series, 2000 to 2012 to make them directly comparable to the latest income data. This entails creating a ratio of the original and redesigned 2013 income data within each demographic subgroup, and imputing that backwards to create a consistent series. This is the same adjustment we made last year measuring elderly and nonelderly household incomes as well as incomes by race and ethnicity.)

In addition to looking at how median household income growth differed by race and ethnicity, we will examine changes in incomes across the income distribution. Specifically, we will be presenting the growth in income by income fifth and the top 5 percent to assess how much inequality has grown or shrunk over the last few years. Unfortunately, again, the hourly wage data through 2017 indicate that top earners have continued to pull away from the median, and therefore growth in income inequality is likely. Last year, while there was broad-based income growth, it was only the top 20 percent that exceeded their pre-recession income levels.

Third, we will provide an analysis of recent trends in poverty. Similar to the previous discussion, we will analyze poverty in 2017 and then make comparisons to 2007 and 2000. We’ll also look at poverty by race and ethnicity, and separately for children—who tend to have particularly elevated levels of poverty. Assuming incomes continue to rise, particularly if there’s broad-based growth, poverty will hopefully continue to fall.

In addition to the official poverty rate, we will highlight recent trends in the Supplemental Poverty Measure (SPM) being released on Wednesday. The SPM is an alternative to the long-running official poverty measure that attempts to correct some of the substantial weaknesses of the official poverty measure (e.g., the fact that it counts only cash income, often sets possibly too-low thresholds for poverty, and doesn’t allow for geographic variability). Because it includes non-cash measures of family income, such as income from Social Security and tax credits, the SPM lets us assess how effective public assistance and safety net programs are at lifting people out of poverty. On Wednesday, we will take a deeper look at these data to make an assessment of how poverty, as measured by the SPM, has changed in the recovery and the importance of shoring up not tearing down these programs in future policy making. To the extent possible, we will also analyze trends in SPM measured poverty by race and ethnicity.

It is important to remember that the data reported next week is the latest installment in just one of the Census Bureau’s many long-running series that have been essential to assessing the needs of the American people and the effectiveness of national policies. It’s a reminder that fully funding the Census Bureau and all of its useful surveys—along with not undermining its data collection by doing things like adding a last minute, untested citizenship question to the decennial Census—is critical for accurate measurement of the population and providing necessary insights into the role of policy in improving incomes and reducing poverty.