Federal Reserve Economic Data

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

Title 90% Confidence Interval Lower Bound of Estimate of Median Household Income for Shawano County, WI
Series ID MHICILBWI55115A052NCEN
Source U.S. Census Bureau
Release Small Area Income and Poverty Estimates
Seasonal Adjustment Not Seasonally Adjusted
Frequency Annual
Units Dollars
Date Range 1993-01-01 to 2023-01-01
Last Updated 2024-12-20 3:13 AM 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
1993-01-01 25356
1994-01-01 .
1995-01-01 28170
1996-01-01 .
1997-01-01 30749
1998-01-01 32315
1999-01-01 34942
2000-01-01 36247
2001-01-01 36073
2002-01-01 36286
2003-01-01 37138
2004-01-01 38983
2005-01-01 38784
2006-01-01 40920
2007-01-01 42474
2008-01-01 42981
2009-01-01 42170
2010-01-01 42458
2011-01-01 40112
2012-01-01 41332
2013-01-01 43678
2014-01-01 45087
2015-01-01 48874
2016-01-01 47386
2017-01-01 51474
2018-01-01 53191
2019-01-01 55105
2020-01-01 53588
2021-01-01 58694
2022-01-01 62016
2023-01-01 65206

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