Federal Reserve Economic Data

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

Title 90% Confidence Interval Lower Bound of Estimate of Median Household Income for Cavalier County, ND
Series ID MHICILBND38019A052NCEN
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 19635
1990-01-01 .
1991-01-01 .
1992-01-01 .
1993-01-01 25791
1994-01-01 .
1995-01-01 25154
1996-01-01 .
1997-01-01 28061
1998-01-01 29725
1999-01-01 31300
2000-01-01 32820
2001-01-01 31334
2002-01-01 30288
2003-01-01 34556
2004-01-01 32224
2005-01-01 32181
2006-01-01 32898
2007-01-01 35322
2008-01-01 40892
2009-01-01 43643
2010-01-01 43023
2011-01-01 45845
2012-01-01 52057
2013-01-01 48356
2014-01-01 48678
2015-01-01 51836
2016-01-01 47774
2017-01-01 54102
2018-01-01 54870
2019-01-01 56230
2020-01-01 47150
2021-01-01 57966
2022-01-01 64059

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