Federal Reserve Economic Data

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

Title 90% Confidence Interval Lower Bound of Estimate of Median Household Income for Moore County, NC
Series ID MHICILBNC37125A052NCEN
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 2023-01-01
Last Updated 2024-12-20 3:13 AM 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 24297
1990-01-01 .
1991-01-01 .
1992-01-01 .
1993-01-01 27973
1994-01-01 .
1995-01-01 31382
1996-01-01 .
1997-01-01 33606
1998-01-01 35649
1999-01-01 37324
2000-01-01 38817
2001-01-01 38063
2002-01-01 38059
2003-01-01 38754
2004-01-01 40353
2005-01-01 38128
2006-01-01 42283
2007-01-01 46700
2008-01-01 45030
2009-01-01 43468
2010-01-01 44062
2011-01-01 43429
2012-01-01 46225
2013-01-01 47116
2014-01-01 47826
2015-01-01 49392
2016-01-01 50015
2017-01-01 59109
2018-01-01 55999
2019-01-01 58927
2020-01-01 62849
2021-01-01 62883
2022-01-01 81084
2023-01-01 72867

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