Federal Reserve Economic Data

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

Title 90% Confidence Interval Lower Bound of Estimate of Median Household Income for Clark County, WI
Series ID MHICILBWI55019A052NCEN
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 19686
1990-01-01 .
1991-01-01 .
1992-01-01 .
1993-01-01 24228
1994-01-01 .
1995-01-01 25257
1996-01-01 .
1997-01-01 27745
1998-01-01 30053
1999-01-01 32257
2000-01-01 33344
2001-01-01 32979
2002-01-01 33012
2003-01-01 34342
2004-01-01 36209
2005-01-01 37676
2006-01-01 38392
2007-01-01 39237
2008-01-01 41716
2009-01-01 39910
2010-01-01 37626
2011-01-01 37771
2012-01-01 41018
2013-01-01 40795
2014-01-01 42965
2015-01-01 48193
2016-01-01 45515
2017-01-01 47761
2018-01-01 52615
2019-01-01 50753
2020-01-01 51600
2021-01-01 54811
2022-01-01 62087

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