Federal Reserve Economic Data

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

Title 90% Confidence Interval Upper Bound of Estimate of Median Household Income for Mercer County, ND
Series ID MHICIUBND38057A052NCEN
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 35716
1990-01-01 .
1991-01-01 .
1992-01-01 .
1993-01-01 41725
1994-01-01 .
1995-01-01 47490
1996-01-01 .
1997-01-01 50433
1998-01-01 51708
1999-01-01 48607
2000-01-01 50623
2001-01-01 50696
2002-01-01 52855
2003-01-01 55160
2004-01-01 57532
2005-01-01 55933
2006-01-01 59656
2007-01-01 62300
2008-01-01 68844
2009-01-01 66596
2010-01-01 69526
2011-01-01 73075
2012-01-01 70250
2013-01-01 76945
2014-01-01 80346
2015-01-01 81900
2016-01-01 86597
2017-01-01 89472
2018-01-01 90964
2019-01-01 92326
2020-01-01 91490
2021-01-01 88206
2022-01-01 100772

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