Federal Reserve Economic Data

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

Title 90% Confidence Interval Upper Bound of Estimate of Median Household Income for Hettinger County, ND
Series ID MHICIUBND38041A052NCEN
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 1:51 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 19872
1990-01-01 .
1991-01-01 .
1992-01-01 .
1993-01-01 28099
1994-01-01 .
1995-01-01 29405
1996-01-01 .
1997-01-01 31372
1998-01-01 33497
1999-01-01 31496
2000-01-01 35182
2001-01-01 33341
2002-01-01 31446
2003-01-01 34582
2004-01-01 34226
2005-01-01 36101
2006-01-01 36465
2007-01-01 38875
2008-01-01 44829
2009-01-01 40574
2010-01-01 46993
2011-01-01 49291
2012-01-01 52599
2013-01-01 63746
2014-01-01 53957
2015-01-01 58971
2016-01-01 55677
2017-01-01 57083
2018-01-01 56702
2019-01-01 61063
2020-01-01 61026
2021-01-01 60975
2022-01-01 73069

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