Federal Reserve Economic Data

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

Title 90% Confidence Interval Lower Bound of Estimate of Median Household Income for Pitt County, NC
Series ID MHICILBNC37147A052NCEN
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 2:32 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 20491
1990-01-01 .
1991-01-01 .
1992-01-01 .
1993-01-01 24080
1994-01-01 .
1995-01-01 27393
1996-01-01 .
1997-01-01 29087
1998-01-01 30317
1999-01-01 30501
2000-01-01 31137
2001-01-01 30394
2002-01-01 30250
2003-01-01 31809
2004-01-01 33347
2005-01-01 32086
2006-01-01 35409
2007-01-01 35844
2008-01-01 38289
2009-01-01 34595
2010-01-01 37568
2011-01-01 36749
2012-01-01 36775
2013-01-01 39001
2014-01-01 39901
2015-01-01 39678
2016-01-01 43175
2017-01-01 42791
2018-01-01 41195
2019-01-01 50275
2020-01-01 44668
2021-01-01 43812
2022-01-01 53825
2023-01-01 56342

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