Federal Reserve Economic Data

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

Title 90% Confidence Interval Lower Bound of Estimate of Median Household Income for Renville County, MN
Series ID MHICILBMN27129A052NCEN
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 22708
1990-01-01 .
1991-01-01 .
1992-01-01 .
1993-01-01 26719
1994-01-01 .
1995-01-01 28092
1996-01-01 .
1997-01-01 31721
1998-01-01 32657
1999-01-01 35064
2000-01-01 36702
2001-01-01 36135
2002-01-01 36770
2003-01-01 36916
2004-01-01 39033
2005-01-01 41395
2006-01-01 39167
2007-01-01 42326
2008-01-01 42887
2009-01-01 42694
2010-01-01 47573
2011-01-01 46462
2012-01-01 46379
2013-01-01 50378
2014-01-01 50247
2015-01-01 54142
2016-01-01 52209
2017-01-01 50705
2018-01-01 56279
2019-01-01 54410
2020-01-01 51324
2021-01-01 60776
2022-01-01 60743

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