Federal Reserve Economic Data

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

Title 90% Confidence Interval Lower Bound of Estimate of Median Household Income for Warren County, MS
Series ID MHICILBMS28149A052NCEN
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 2023-01-01
Last Updated 2024-12-20 3:13 AM 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 21594
1990-01-01 .
1991-01-01 .
1992-01-01 .
1993-01-01 24177
1994-01-01 .
1995-01-01 26528
1996-01-01 .
1997-01-01 28349
1998-01-01 29736
1999-01-01 31565
2000-01-01 32803
2001-01-01 32448
2002-01-01 32385
2003-01-01 33394
2004-01-01 33732
2005-01-01 32480
2006-01-01 36190
2007-01-01 36670
2008-01-01 37169
2009-01-01 36294
2010-01-01 34659
2011-01-01 35660
2012-01-01 35709
2013-01-01 38311
2014-01-01 36737
2015-01-01 36757
2016-01-01 37248
2017-01-01 40328
2018-01-01 41997
2019-01-01 41411
2020-01-01 44385
2021-01-01 44513
2022-01-01 46908
2023-01-01 50047

Subscribe to the FRED newsletter


Follow us

Back to Top