Federal Reserve Economic Data

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

Title 90% Confidence Interval Lower Bound of Estimate of Median Household Income for Milwaukee County, WI
Series ID MHICILBWI55079A052NCEN
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 2023-01-01
Last Updated 2024-12-20 2:32 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
1989-01-01 26910
1990-01-01 .
1991-01-01 .
1992-01-01 .
1993-01-01 29236
1994-01-01 .
1995-01-01 32688
1996-01-01 .
1997-01-01 34668
1998-01-01 35375
1999-01-01 35196
2000-01-01 37254
2001-01-01 36545
2002-01-01 36294
2003-01-01 37138
2004-01-01 37461
2005-01-01 37029
2006-01-01 40468
2007-01-01 41828
2008-01-01 44876
2009-01-01 41016
2010-01-01 39843
2011-01-01 39895
2012-01-01 41531
2013-01-01 41154
2014-01-01 41644
2015-01-01 44813
2016-01-01 46313
2017-01-01 46250
2018-01-01 48370
2019-01-01 51714
2020-01-01 49536
2021-01-01 54745
2022-01-01 56685
2023-01-01 60729

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