Federal Reserve Economic Data

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

Title 90% Confidence Interval Lower Bound of Estimate of Median Household Income for Waupaca County, WI
Series ID MHICILBWI55135A052NCEN
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 23217
1990-01-01 .
1991-01-01 .
1992-01-01 .
1993-01-01 28601
1994-01-01 .
1995-01-01 31667
1996-01-01 .
1997-01-01 33741
1998-01-01 36034
1999-01-01 37792
2000-01-01 39153
2001-01-01 38432
2002-01-01 39152
2003-01-01 40520
2004-01-01 42278
2005-01-01 43001
2006-01-01 42337
2007-01-01 45365
2008-01-01 42480
2009-01-01 45004
2010-01-01 44438
2011-01-01 43961
2012-01-01 48902
2013-01-01 44549
2014-01-01 50103
2015-01-01 51070
2016-01-01 50126
2017-01-01 55173
2018-01-01 55955
2019-01-01 58311
2020-01-01 63103
2021-01-01 59907
2022-01-01 60905

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