Federal Reserve Economic Data

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

Title 90% Confidence Interval Lower Bound of Estimate of Median Household Income for Racine County, WI
Series ID MHICILBWI55101A052NCEN
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 1:11 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 29655
1990-01-01 .
1991-01-01 .
1992-01-01 .
1993-01-01 34223
1994-01-01 .
1995-01-01 38468
1996-01-01 .
1997-01-01 41812
1998-01-01 43066
1999-01-01 43310
2000-01-01 45144
2001-01-01 45111
2002-01-01 45462
2003-01-01 46350
2004-01-01 47676
2005-01-01 48839
2006-01-01 49227
2007-01-01 49869
2008-01-01 52430
2009-01-01 50151
2010-01-01 49578
2011-01-01 50253
2012-01-01 50513
2013-01-01 51729
2014-01-01 52584
2015-01-01 54855
2016-01-01 53934
2017-01-01 58019
2018-01-01 57628
2019-01-01 58512
2020-01-01 62653
2021-01-01 65728
2022-01-01 68683

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