Federal Reserve Economic Data

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

Title 90% Confidence Interval Lower Bound of Estimate of Median Household Income for Lincoln County, MN
Series ID MHICILBMN27081A052NCEN
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 3:13 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 17018
1990-01-01 .
1991-01-01 .
1992-01-01 .
1993-01-01 21390
1994-01-01 .
1995-01-01 21365
1996-01-01 .
1997-01-01 23999
1998-01-01 25993
1999-01-01 29092
2000-01-01 30785
2001-01-01 30434
2002-01-01 30211
2003-01-01 31461
2004-01-01 33379
2005-01-01 31966
2006-01-01 35371
2007-01-01 34506
2008-01-01 39389
2009-01-01 37236
2010-01-01 39764
2011-01-01 39776
2012-01-01 40267
2013-01-01 44193
2014-01-01 44607
2015-01-01 48510
2016-01-01 41674
2017-01-01 46309
2018-01-01 46906
2019-01-01 48997
2020-01-01 49931
2021-01-01 53823
2022-01-01 59158
2023-01-01 57302

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