Federal Reserve Economic Data

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

Title 90% Confidence Interval Lower Bound of Estimate of Median Household Income for Columbia County, WI
Series ID MHICILBWI55021A052NCEN
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 1:53 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 24294
1990-01-01 .
1991-01-01 .
1992-01-01 .
1993-01-01 31115
1994-01-01 .
1995-01-01 34190
1996-01-01 .
1997-01-01 36844
1998-01-01 39081
1999-01-01 41399
2000-01-01 43078
2001-01-01 43449
2002-01-01 44225
2003-01-01 45573
2004-01-01 47429
2005-01-01 48388
2006-01-01 49053
2007-01-01 52383
2008-01-01 53626
2009-01-01 50462
2010-01-01 50478
2011-01-01 53883
2012-01-01 52681
2013-01-01 55196
2014-01-01 55548
2015-01-01 57338
2016-01-01 57761
2017-01-01 61773
2018-01-01 62559
2019-01-01 65308
2020-01-01 69628
2021-01-01 70655
2022-01-01 71729

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