Federal Reserve Economic Data

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

Title 90% Confidence Interval Upper Bound of Estimate of Median Household Income for Outagamie County, WI
Series ID MHICIUBWI55087A052NCEN
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 1:51 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 35074
1990-01-01 .
1991-01-01 .
1992-01-01 .
1993-01-01 42245
1994-01-01 .
1995-01-01 48837
1996-01-01 .
1997-01-01 50873
1998-01-01 52127
1999-01-01 52761
2000-01-01 55488
2001-01-01 54797
2002-01-01 55413
2003-01-01 56124
2004-01-01 58230
2005-01-01 56172
2006-01-01 54222
2007-01-01 60107
2008-01-01 57115
2009-01-01 56680
2010-01-01 58789
2011-01-01 59261
2012-01-01 61557
2013-01-01 59537
2014-01-01 62839
2015-01-01 63931
2016-01-01 64078
2017-01-01 68216
2018-01-01 69244
2019-01-01 69706
2020-01-01 74340
2021-01-01 77466
2022-01-01 82041

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