Federal Reserve Economic Data

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

Title 90% Confidence Interval Lower Bound of Estimate of Median Household Income for Mercer County, ND
Series ID MHICILBND38057A052NCEN
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 31015
1990-01-01 .
1991-01-01 .
1992-01-01 .
1993-01-01 37020
1994-01-01 .
1995-01-01 41021
1996-01-01 .
1997-01-01 43979
1998-01-01 45238
1999-01-01 42104
2000-01-01 43090
2001-01-01 43698
2002-01-01 45516
2003-01-01 48061
2004-01-01 50143
2005-01-01 47504
2006-01-01 50585
2007-01-01 53383
2008-01-01 58296
2009-01-01 54666
2010-01-01 58316
2011-01-01 61823
2012-01-01 58704
2013-01-01 63355
2014-01-01 67748
2015-01-01 69496
2016-01-01 73547
2017-01-01 76510
2018-01-01 73642
2019-01-01 74356
2020-01-01 67726
2021-01-01 69440
2022-01-01 79412

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