Historical exposure to drought — Land soil moisture anomaly in Myrtle Beach-Conway-Georgetown, SC

Myrtle Beach-Conway-Georgetown, SC: Historical exposure to drought — Land soil moisture anomaly was -5.66 Percentage change in 2025. ◆ Volatile

Latest (2025)
-5.66 Percentage change
Change on year
up 41.1%
Rank
2346th
of 3112 regions
All-time high
12.9 Percentage change
in 2020
All-time low
-14.3 Percentage change
in 1953
Years of data
76
1950–2025

Historical exposure to drought — Land soil moisture anomaly in Myrtle Beach-Conway-Georgetown, SC, 1950–2025

-10010195019872025

Source: Organisation for Economic Co-operation and Development. Measured in Percentage change.

Analysis

The most recent figure for historical exposure to drought — land soil moisture anomaly in Myrtle Beach-Conway-Georgetown, SC is -5.66 Percentage change, measured in 2025.

That represents a change of up 41.1% on the previous year and down 860.9% over ten years.

Over the whole period, historical exposure to drought — land soil moisture anomaly in Myrtle Beach-Conway-Georgetown, SC peaked at 12.9 Percentage change in 2020 and was at its lowest, -14.3 Percentage change, in 1953.

That places Myrtle Beach-Conway-Georgetown, SC 2346th out of 3112 regions with data for 2025, putting it in the bottom quarter.

The series is highly variable year to year, so single readings are best treated with caution.

Historical exposure to drought — Land soil moisture anomaly in Myrtle Beach-Conway-Georgetown, SC, year by year

Annual values for Historical exposure to drought — Land soil moisture anomaly in Myrtle Beach-Conway-Georgetown, SC, 1950 to 2025.
Year Percentage change Change
1950 -7.2 Percentage change
1951 -10.71 Percentage change +48.9%
1952 -4.13 Percentage change -61.5%
1953 -14.3 Percentage change +246.5%
1954 -12.97 Percentage change -9.3%
1955 -10.73 Percentage change -17.3%
1956 -6.78 Percentage change -36.8%
1957 -1.65 Percentage change -75.7%
1958 0.9493 Percentage change -157.6%
1959 6.19 Percentage change +551.6%
1960 -6.26 Percentage change -201.3%
1961 -8.42 Percentage change +34.5%
1962 -2.13 Percentage change -74.7%
1963 2.48 Percentage change -216.2%
1964 3.2 Percentage change +29.0%
1965 -7.73 Percentage change -341.6%
1966 -7.47 Percentage change -3.4%
1967 -8.22 Percentage change +10.1%
1968 -10.88 Percentage change +32.3%
1969 -9.7 Percentage change -10.8%
1970 -6.36 Percentage change -34.4%
1971 5.85 Percentage change -191.9%
1972 0.9382 Percentage change -84.0%
1973 -1.33 Percentage change -241.6%
1974 -1.92 Percentage change +44.6%
1975 -4.96 Percentage change +158.3%
1976 -1.46 Percentage change -70.5%
1977 -4.36 Percentage change +198.1%
1978 -6.87 Percentage change +57.8%
1979 -3.24 Percentage change -52.8%
1980 -3.02 Percentage change -6.9%
1981 -5.12 Percentage change +69.4%
1982 4.56 Percentage change -189.1%
1983 -1.73 Percentage change -138.0%
1984 3.84 Percentage change -322.2%
1985 1.42 Percentage change -63.1%
1986 -4.21 Percentage change -396.8%
1987 0.8166 Percentage change -119.4%
1988 0.3017 Percentage change -63.1%
1989 0.3626 Percentage change +20.2%
1990 -4.64 Percentage change -1379.7%
1991 -2.57 Percentage change -44.5%
1992 4.68 Percentage change -282.0%
1993 -1.96 Percentage change -141.8%
1994 3.75 Percentage change -291.4%
1995 3.51 Percentage change -6.2%
1996 2.77 Percentage change -21.1%
1997 8.34 Percentage change +200.7%
1998 -4.27 Percentage change -151.2%
1999 2.4 Percentage change -156.1%
2000 -1.26 Percentage change -152.4%
2001 -5.78 Percentage change +359.6%
2002 -3.39 Percentage change -41.3%
2003 5.31 Percentage change -256.5%
2004 4.42 Percentage change -16.6%
2005 5.12 Percentage change +15.8%
2006 -1.88 Percentage change -136.7%
2007 -12.57 Percentage change +568.9%
2008 2.79 Percentage change -122.2%
2009 -2.66 Percentage change -195.2%
2010 -2.38 Percentage change -10.6%
2011 -3.03 Percentage change +27.5%
2012 -4.53 Percentage change +49.5%
2013 -0.0272 Percentage change -99.4%
2014 0.0144 Percentage change -153.1%
2015 0.7435 Percentage change +5050.5%
2016 -2.85 Percentage change -483.1%
2017 -4.98 Percentage change +74.8%
2018 3.2 Percentage change -164.3%
2019 -13.97 Percentage change -536.4%
2020 12.9 Percentage change -192.3%
2021 -2.72 Percentage change -121.1%
2022 -0.1819 Percentage change -93.3%
2023 0.8757 Percentage change -581.5%
2024 -9.61 Percentage change -1197.0%
2025 -5.66 Percentage change -41.1%

Averages by decade

DecadeAverage LowestHighest Years
1950s -6.13 Percentage change -14.3 Percentage change 6.19 Percentage change 10
1960s -5.51 Percentage change -10.88 Percentage change 3.2 Percentage change 10
1970s -2.37 Percentage change -6.87 Percentage change 5.85 Percentage change 10
1980s -0.2777 Percentage change -5.12 Percentage change 4.56 Percentage change 10
1990s 1.2 Percentage change -4.64 Percentage change 8.34 Percentage change 10
2000s -0.9883 Percentage change -12.57 Percentage change 5.31 Percentage change 10
2010s -2.78 Percentage change -13.97 Percentage change 3.2 Percentage change 10
2020s -0.7321 Percentage change -9.61 Percentage change 12.9 Percentage change 6

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Frequently asked questions

What is historical exposure to drought — land soil moisture anomaly in Myrtle Beach-Conway-Georgetown, SC?
Historical exposure to drought — land soil moisture anomaly in Myrtle Beach-Conway-Georgetown, SC was -5.66 Percentage change in 2025, according to Organisation for Economic Co-operation and Development.
What is the highest historical exposure to drought — land soil moisture anomaly recorded in Myrtle Beach-Conway-Georgetown, SC?
The highest recorded value was 12.9 Percentage change in 2020.
What is the lowest historical exposure to drought — land soil moisture anomaly recorded in Myrtle Beach-Conway-Georgetown, SC?
The lowest recorded value was -14.3 Percentage change in 1953.
How does Myrtle Beach-Conway-Georgetown, SC rank for historical exposure to drought — land soil moisture anomaly?
Myrtle Beach-Conway-Georgetown, SC ranks 2346th out of 3112 regions with data for 2025.
Is historical exposure to drought — land soil moisture anomaly rising or falling in Myrtle Beach-Conway-Georgetown, SC?
Over the last ten years it is down 860.9%. The long-run trend across the full record is volatile.
Where does this Myrtle Beach-Conway-Georgetown, SC data come from?
The figures come from Organisation for Economic Co-operation and Development, published as part of Historical exposure to drought — Land soil moisture anomaly. Statizoid updates them automatically from the source API.

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Historical exposure to drought — Land soil moisture anomaly in Myrtle Beach-Conway-Georgetown, SC. Statizoid, drawing on Organisation for Economic Co-operation and Development. Retrieved 25 August 2026, from https://environment.statizoid.com/stat/historical-exposure-to-drought-land-soil-moisture-anomaly/myrtle-beach-conway-georgetown-sc/

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About this data

Indicator
Historical exposure to drought — Land soil moisture anomaly
Unit
Percentage change
Source
Organisation for Economic Co-operation and Development
Licence
OECD Terms and Conditions (attribution required)
Coverage
3,375 places, 256,500 data points, 1950–2025
Last refreshed

The dataset provides annual anomalies in land and cropland soil moisture content of the top soil layer (0 to 7 cm) compared to the reference period 1981-2010. Exposure indicators to drought have been prepared by the Organisation for Economic Co-operation and Development (OECD). Please see the working paper for a more complete description of the methods. The datasets span the period 1981-2024 and is the result of the use of a variety of geospatial data sources, including the ERA5-Land averaged monthly data of volumetric soil moisture and ESA CCI land cover data. Average anomalies have been calculated for both land and cropland exposure to drought. The dataset has a global coverage on a national level; on the sub-national TL2 level (i.e. large subnational regions) results are reported for all OECD countries as well as for Argentina, Brazil, China, India, Indonesia and South Africa. A number of aggregates are included: Euro area, European Union, Advanced economies, Emerging market economies, G7, G20, OECD, OECD Europe, OECD Asia Oceania, OECD Americas and the LAC region. Data source(s): Copernicus Climate Change Initiative land cover data and Copernicus Climate Data Store monthly soil moisture data based on the ERA5-Land reanalysis dataset. Contact: ENV.Stat@oecd.org