Federal Reserve Economic Data

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

Title 90% Confidence Interval Lower Bound of Estimate of Median Household Income for Marquette County, WI
Series ID MHICILBWI55077A052NCEN
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 19079
1990-01-01 .
1991-01-01 .
1992-01-01 .
1993-01-01 23281
1994-01-01 .
1995-01-01 25553
1996-01-01 .
1997-01-01 26758
1998-01-01 28613
1999-01-01 32132
2000-01-01 33822
2001-01-01 33444
2002-01-01 34541
2003-01-01 36077
2004-01-01 37376
2005-01-01 36682
2006-01-01 39156
2007-01-01 39653
2008-01-01 40799
2009-01-01 38270
2010-01-01 41353
2011-01-01 38642
2012-01-01 40536
2013-01-01 44917
2014-01-01 40513
2015-01-01 46244
2016-01-01 46457
2017-01-01 44575
2018-01-01 43271
2019-01-01 52431
2020-01-01 47718
2021-01-01 55494
2022-01-01 53761

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