Federal Reserve Economic Data

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

Title 90% Confidence Interval Upper Bound of Estimate of Median Household Income for Dodge County, WI
Series ID MHICIUBWI55027A052NCEN
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 3:11 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 30067
1990-01-01 .
1991-01-01 .
1992-01-01 .
1993-01-01 36539
1994-01-01 .
1995-01-01 41945
1996-01-01 .
1997-01-01 45543
1998-01-01 47506
1999-01-01 47615
2000-01-01 50191
2001-01-01 49083
2002-01-01 49362
2003-01-01 50098
2004-01-01 51703
2005-01-01 52641
2006-01-01 52335
2007-01-01 53832
2008-01-01 55300
2009-01-01 52839
2010-01-01 53416
2011-01-01 54045
2012-01-01 54084
2013-01-01 53507
2014-01-01 57826
2015-01-01 59380
2016-01-01 60195
2017-01-01 61412
2018-01-01 67907
2019-01-01 63974
2020-01-01 72042
2021-01-01 73277
2022-01-01 74437
2023-01-01 78553

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