Federal Reserve Economic Data

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

Title 90% Confidence Interval Lower Bound of Estimate of Median Household Income for Sawyer County, WI
Series ID MHICILBWI55113A052NCEN
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 15472
1990-01-01 .
1991-01-01 .
1992-01-01 .
1993-01-01 19629
1994-01-01 .
1995-01-01 23613
1996-01-01 .
1997-01-01 24202
1998-01-01 26082
1999-01-01 29699
2000-01-01 31397
2001-01-01 30959
2002-01-01 31567
2003-01-01 32637
2004-01-01 34387
2005-01-01 32761
2006-01-01 34294
2007-01-01 36541
2008-01-01 36141
2009-01-01 34304
2010-01-01 34753
2011-01-01 37168
2012-01-01 37787
2013-01-01 37519
2014-01-01 37203
2015-01-01 41047
2016-01-01 40333
2017-01-01 43291
2018-01-01 42753
2019-01-01 48790
2020-01-01 43277
2021-01-01 48318
2022-01-01 54108

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