Federal Reserve Economic Data

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

Title 90% Confidence Interval Lower Bound of Estimate of Median Household Income for Washington County, MS
Series ID MHICILBMS28151A052NCEN
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 1:12 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 14576
1990-01-01 .
1991-01-01 .
1992-01-01 .
1993-01-01 17930
1994-01-01 .
1995-01-01 19998
1996-01-01 .
1997-01-01 20960
1998-01-01 21999
1999-01-01 23458
2000-01-01 24114
2001-01-01 22977
2002-01-01 22541
2003-01-01 23276
2004-01-01 23860
2005-01-01 23023
2006-01-01 25314
2007-01-01 26297
2008-01-01 25405
2009-01-01 25225
2010-01-01 23647
2011-01-01 26938
2012-01-01 25847
2013-01-01 26450
2014-01-01 28299
2015-01-01 25273
2016-01-01 27580
2017-01-01 29514
2018-01-01 30628
2019-01-01 28081
2020-01-01 30264
2021-01-01 34787
2022-01-01 36096

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