Federal Reserve Economic Data

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

Title 90% Confidence Interval Lower Bound of Estimate of Median Household Income for Price County, WI
Series ID MHICILBWI55099A052NCEN
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 20039
1990-01-01 .
1991-01-01 .
1992-01-01 .
1993-01-01 25516
1994-01-01 .
1995-01-01 28053
1996-01-01 .
1997-01-01 30826
1998-01-01 32740
1999-01-01 33241
2000-01-01 33820
2001-01-01 33526
2002-01-01 34317
2003-01-01 35309
2004-01-01 36908
2005-01-01 37656
2006-01-01 37733
2007-01-01 37205
2008-01-01 37673
2009-01-01 36328
2010-01-01 38568
2011-01-01 38554
2012-01-01 38009
2013-01-01 40367
2014-01-01 39625
2015-01-01 41611
2016-01-01 42307
2017-01-01 43750
2018-01-01 42723
2019-01-01 45984
2020-01-01 42098
2021-01-01 51097
2022-01-01 49217

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