Federal Reserve Economic Data

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

Title 90% Confidence Interval Lower Bound of Estimate of Median Household Income for Ozaukee County, WI
Series ID MHICILBWI55089A052NCEN
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 41732
1990-01-01 .
1991-01-01 .
1992-01-01 .
1993-01-01 48209
1994-01-01 .
1995-01-01 54000
1996-01-01 .
1997-01-01 59127
1998-01-01 60724
1999-01-01 60243
2000-01-01 60714
2001-01-01 61113
2002-01-01 61906
2003-01-01 62733
2004-01-01 64911
2005-01-01 69368
2006-01-01 66948
2007-01-01 71065
2008-01-01 67932
2009-01-01 70058
2010-01-01 68433
2011-01-01 70415
2012-01-01 71871
2013-01-01 69346
2014-01-01 70999
2015-01-01 76521
2016-01-01 80486
2017-01-01 79971
2018-01-01 79004
2019-01-01 84694
2020-01-01 74216
2021-01-01 83325
2022-01-01 88393

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