Federal Reserve Economic Data

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

Title 90% Confidence Interval Lower Bound of Estimate of Median Household Income for Towner County, ND
Series ID MHICILBND38095A052NCEN
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 17907
1990-01-01 .
1991-01-01 .
1992-01-01 .
1993-01-01 22475
1994-01-01 .
1995-01-01 21191
1996-01-01 .
1997-01-01 24017
1998-01-01 26052
1999-01-01 29667
2000-01-01 31421
2001-01-01 30476
2002-01-01 31576
2003-01-01 35018
2004-01-01 32432
2005-01-01 32373
2006-01-01 33468
2007-01-01 34011
2008-01-01 44211
2009-01-01 41867
2010-01-01 43901
2011-01-01 47598
2012-01-01 47319
2013-01-01 50035
2014-01-01 46472
2015-01-01 46323
2016-01-01 45972
2017-01-01 45749
2018-01-01 46536
2019-01-01 46825
2020-01-01 49274
2021-01-01 58641
2022-01-01 61798

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