Federal Reserve Economic Data

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

Title 90% Confidence Interval Lower Bound of Estimate of Median Household Income for Lac qui Parle County, MN
Series ID MHICILBMN27073A052NCEN
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 2023-01-01
Last Updated 2024-12-20 2:33 AM 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 20172
1990-01-01 .
1991-01-01 .
1992-01-01 .
1993-01-01 25135
1994-01-01 .
1995-01-01 25003
1996-01-01 .
1997-01-01 28834
1998-01-01 29414
1999-01-01 30935
2000-01-01 32241
2001-01-01 31778
2002-01-01 32391
2003-01-01 32193
2004-01-01 35157
2005-01-01 35387
2006-01-01 36220
2007-01-01 36528
2008-01-01 40070
2009-01-01 40940
2010-01-01 40973
2011-01-01 46283
2012-01-01 47142
2013-01-01 42987
2014-01-01 43871
2015-01-01 47860
2016-01-01 46060
2017-01-01 48079
2018-01-01 48324
2019-01-01 52453
2020-01-01 60155
2021-01-01 55552
2022-01-01 61860
2023-01-01 61542

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