Federal Reserve Economic Data

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

Title 90% Confidence Interval Upper Bound of Estimate of Median Household Income for Wayne County, MS
Series ID MHICIUBMS28153A052NCEN
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 1:52 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 19275
1990-01-01 .
1991-01-01 .
1992-01-01 .
1993-01-01 21427
1994-01-01 .
1995-01-01 25340
1996-01-01 .
1997-01-01 27749
1998-01-01 29149
1999-01-01 27251
2000-01-01 28643
2001-01-01 27669
2002-01-01 27431
2003-01-01 28454
2004-01-01 29935
2005-01-01 29954
2006-01-01 32006
2007-01-01 35135
2008-01-01 36414
2009-01-01 35322
2010-01-01 35370
2011-01-01 36121
2012-01-01 36353
2013-01-01 34253
2014-01-01 39113
2015-01-01 39493
2016-01-01 39331
2017-01-01 40278
2018-01-01 41501
2019-01-01 43682
2020-01-01 42067
2021-01-01 42772
2022-01-01 48905

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