Federal Reserve Economic Data

Table Data - 90% Confidence Interval Lower Bound of Estimate of Median Household Income for Dallas County, MO

Title 90% Confidence Interval Lower Bound of Estimate of Median Household Income for Dallas County, MO
Series ID MHICILBMO29059A052NCEN
Source U.S. Census Bureau
Release Small Area Income and Poverty Estimates
Seasonal Adjustment Not Seasonally Adjusted
Frequency Annual
Units Dollars
Date Range 1989-01-01 to 2022-01-01
Last Updated 2023-12-14 1:54 PM CST
Notes The U.S. Census Bureau provides annual estimates of income and poverty statistics for all school districts, counties, and states through the Small Area Income and Poverty Estimates (SAIPE) program. The bureau's main objective with this program is to provide estimates of income and poverty for the administration of federal programs and the allocation of federal funds to local jurisdictions. In addition to these federal programs, state and local programs use the income and poverty estimates for distributing funds and managing programs.

Household income includes income of the householder and all other people 15 years and older in the household, whether or not they are related to the householder. Median is the point that divides the household income distributions into two halves: one-half with income above the median and the other with income below the median. The median is based on the income distribution of all households, including those with no income.

A confidence interval is a range of values, from the lower bound to the respective upper bound, that describes the uncertainty surrounding an estimate. A confidence interval is also itself an estimate. It is made using a model of how sampling, interviewing, measuring, and modeling contribute to uncertainty about the relation between the true value of the quantity we are estimating and our estimate of that value. The "90%" in the confidence interval listed above represents a level of certainty about our estimate. If we were to repeatedly make new estimates using exactly the same procedure (by drawing a new sample, conducting new interviews, calculating new estimates and new confidence intervals), the confidence intervals would contain the average of all the estimates 90% of the time. For more details about the confidence intervals and their interpretation, see this explanation.
DATE VALUE
1989-01-01 14353
1990-01-01 .
1991-01-01 .
1992-01-01 .
1993-01-01 17183
1994-01-01 .
1995-01-01 19747
1996-01-01 .
1997-01-01 21199
1998-01-01 23015
1999-01-01 25384
2000-01-01 26392
2001-01-01 25815
2002-01-01 26212
2003-01-01 27442
2004-01-01 27981
2005-01-01 27311
2006-01-01 30688
2007-01-01 29446
2008-01-01 31359
2009-01-01 29869
2010-01-01 36001
2011-01-01 30179
2012-01-01 30939
2013-01-01 35146
2014-01-01 31647
2015-01-01 34234
2016-01-01 32551
2017-01-01 34718
2018-01-01 34813
2019-01-01 37637
2020-01-01 36759
2021-01-01 40874
2022-01-01 44356

Subscribe to the FRED newsletter


Follow us

Back to Top