Federal Reserve Economic Data

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

Title 90% Confidence Interval Lower Bound of Estimate of Median Household Income for Adams County, WI
Series ID MHICILBWI55001A052NCEN
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 1:11 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 18503
1990-01-01 .
1991-01-01 .
1992-01-01 .
1993-01-01 22375
1994-01-01 .
1995-01-01 25325
1996-01-01 .
1997-01-01 27186
1998-01-01 28593
1999-01-01 30421
2000-01-01 31421
2001-01-01 30851
2002-01-01 31609
2003-01-01 32954
2004-01-01 33502
2005-01-01 34776
2006-01-01 34590
2007-01-01 35696
2008-01-01 35784
2009-01-01 36640
2010-01-01 39808
2011-01-01 37084
2012-01-01 39145
2013-01-01 41190
2014-01-01 39278
2015-01-01 39690
2016-01-01 39134
2017-01-01 40710
2018-01-01 39766
2019-01-01 48422
2020-01-01 47026
2021-01-01 48942
2022-01-01 49698

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