Federal Reserve Economic Data

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

Title 90% Confidence Interval Upper Bound of Estimate of Median Household Income for Harding County, NM
Series ID MHICIUBNM35021A052NCEN
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 1:09 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 19733
1990-01-01 .
1991-01-01 .
1992-01-01 .
1993-01-01 24590
1994-01-01 .
1995-01-01 26334
1996-01-01 .
1997-01-01 30408
1998-01-01 28593
1999-01-01 27251
2000-01-01 28366
2001-01-01 27468
2002-01-01 25874
2003-01-01 26301
2004-01-01 27422
2005-01-01 29588
2006-01-01 30388
2007-01-01 33195
2008-01-01 31627
2009-01-01 34246
2010-01-01 33950
2011-01-01 36309
2012-01-01 38607
2013-01-01 41275
2014-01-01 44703
2015-01-01 43621
2016-01-01 41076
2017-01-01 39404
2018-01-01 41665
2019-01-01 42858
2020-01-01 46231
2021-01-01 49600
2022-01-01 50931

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