Federal Reserve Economic Data

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

Title 90% Confidence Interval Lower Bound of Estimate of Median Household Income for Polk County, MN
Series ID MHICILBMN27119A052NCEN
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 1:54 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 20860
1990-01-01 .
1991-01-01 .
1992-01-01 .
1993-01-01 25552
1994-01-01 .
1995-01-01 26637
1996-01-01 .
1997-01-01 28976
1998-01-01 30461
1999-01-01 32351
2000-01-01 33879
2001-01-01 33155
2002-01-01 33542
2003-01-01 35159
2004-01-01 36330
2005-01-01 36782
2006-01-01 38766
2007-01-01 39580
2008-01-01 40991
2009-01-01 40711
2010-01-01 42640
2011-01-01 46726
2012-01-01 44045
2013-01-01 50378
2014-01-01 46757
2015-01-01 50499
2016-01-01 45896
2017-01-01 49107
2018-01-01 56180
2019-01-01 57014
2020-01-01 52341
2021-01-01 55429
2022-01-01 64088

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