Federal Reserve Economic Data

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

Title 90% Confidence Interval Lower Bound of Estimate of Median Household Income for Crawford County, WI
Series ID MHICILBWI55023A052NCEN
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 17966
1990-01-01 .
1991-01-01 .
1992-01-01 .
1993-01-01 22311
1994-01-01 .
1995-01-01 24081
1996-01-01 .
1997-01-01 26749
1998-01-01 27954
1999-01-01 30985
2000-01-01 32668
2001-01-01 32050
2002-01-01 32247
2003-01-01 32768
2004-01-01 33989
2005-01-01 38074
2006-01-01 36408
2007-01-01 38495
2008-01-01 38399
2009-01-01 33641
2010-01-01 34698
2011-01-01 37599
2012-01-01 39058
2013-01-01 37879
2014-01-01 40044
2015-01-01 41396
2016-01-01 43355
2017-01-01 43482
2018-01-01 46119
2019-01-01 46919
2020-01-01 46206
2021-01-01 52326
2022-01-01 59176

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