Federal Reserve Economic Data

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

Title 90% Confidence Interval Lower Bound of Estimate of Median Household Income for Walworth County, WI
Series ID MHICILBWI55127A052NCEN
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 25649
1990-01-01 .
1991-01-01 .
1992-01-01 .
1993-01-01 32190
1994-01-01 .
1995-01-01 36237
1996-01-01 .
1997-01-01 38548
1998-01-01 40904
1999-01-01 42043
2000-01-01 43812
2001-01-01 43680
2002-01-01 43663
2003-01-01 44110
2004-01-01 45487
2005-01-01 46998
2006-01-01 49480
2007-01-01 51495
2008-01-01 51386
2009-01-01 47855
2010-01-01 50041
2011-01-01 48311
2012-01-01 47440
2013-01-01 49979
2014-01-01 50503
2015-01-01 55501
2016-01-01 55517
2017-01-01 57763
2018-01-01 60666
2019-01-01 60871
2020-01-01 63324
2021-01-01 66542
2022-01-01 69813

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