Federal Reserve Economic Data

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

Title 90% Confidence Interval Lower Bound of Estimate of Median Household Income for Barnes County, ND
Series ID MHICILBND38003A052NCEN
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 1:11 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 18674
1990-01-01 .
1991-01-01 .
1992-01-01 .
1993-01-01 23072
1994-01-01 .
1995-01-01 24259
1996-01-01 .
1997-01-01 26423
1998-01-01 28418
1999-01-01 29379
2000-01-01 30784
2001-01-01 30693
2002-01-01 31662
2003-01-01 34182
2004-01-01 34504
2005-01-01 36697
2006-01-01 35972
2007-01-01 36197
2008-01-01 39503
2009-01-01 39819
2010-01-01 41714
2011-01-01 43243
2012-01-01 46272
2013-01-01 47273
2014-01-01 47910
2015-01-01 46004
2016-01-01 48764
2017-01-01 50927
2018-01-01 49618
2019-01-01 54410
2020-01-01 50006
2021-01-01 55609
2022-01-01 60201

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